Motion detection , Motion integration , Motion in depth , Camera , Motion estimation , Motion control , Motion detector , optical flow sensor on digital electronic and then illustration digital motion; John 20: 27-29 Then saith he to Thomas, Reach Hither thy finger, and behold my hands; Hither and reach thy hand, and thrust it into my side: and be not Faithless, but believing. And Thomas answered the and said unto him, My Lord and my God. Jesus saith unto him, Thomas, Because thou hast seen me, thou hast Believed: blessed are they that have not seen, and yet have Believed AMNIMARJESLOW AL DO FOUR DO AL ONE LJBUSAF thankyume orbit

                                                        MOTION  DETECTION 

Motion detection is the process of detecting a change in the position of an object relative to its surroundings or a change in the surroundings relative to an object. Motion detection can be achieved by either mechanical or electronic methods. When motion detection is accomplished by natural organisms, it is called motion perception.

Methods

Motion can be detected by:

• Infrared (passive and active sensors)
• Optics (video and camera systems)
• Radio Frequency Energy (radar, microwave and tomographic motion detection)
• Sound (microphones and acoustic sensors)
• Vibration (triboelectric, seismic, and inertia-switch sensors)
• Magnetism (magnetic sensors and magnetometers)

Mechanical

The most basic form of mechanical motion detection is in the form of a switch or trigger. For example, the keys of a typewriter employ a mechanical method of detecting motion. Each key is a manual switch that is either off or on. Each letter that appears is a result of motion on that corresponding key and the switch being turned on.

Electronic

 Motion estimation

The principal methods by which motion can be electronically identified are optical detection and acoustic detection. Infrared light or laser technology may be used for optical detection. Motion detection devices, such as PIR motion detectors, have a sensor that detects a disturbance in the infrared spectrum. Once detected, a signal can activate an alarm or a camera that can capture an image or video of the motioner.
The chief applications for such detection are detection of unauthorized entry, detection of cessation of occupancy of an area to extinguish lighting, and detection of a moving object which triggers a camera to record subsequent events.
A simple algorithm for motion detection by a fixed camera compares the current image with a reference image and simply counts the number of different pixels. Since images will naturally differ due to factors such as varying lighting, camera flicker, and CCD dark currents, pre-processing is useful to reduce the number of false positive alarms.
More complex algorithms are necessary to detect motion when the camera itself is moving, or when the motion of a specific object must be detected in a field containing other movement which can be ignored. An example might be a painting surrounded by visitors in an art gallery. For the case of a moving camera, models based on optical flow are used to distinguish between apparent background motion caused by the camera movement and that of independent objects moving in the scene.

Devices

 Motion detector

Motion detecting devices include:

• Sony Computer Entertainment's PlayStation Move or PlayStation Eye for PS3 and PlayStation Camera for PS4
• Microsoft Corporation's Kinect for Xbox 360, Windows 7, 8, 8.1 or Xbox One
• Nintendo's Wii Remote
• ASUS Eee Stick
• HP's Swing  

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                                                    MOTION  PERCEPTION

perception of motion of an object in an object can be viewed from the sensor sensor using the principle of analog and digital as illustrated in my previous writings; ie how analog works by motion natural time that according to the process while the digital work on the motion of a fast time that the Lord Jesus which proves that it is He (Jesus) to Thomas that could quickly called logically digital, Jesus reversing the palm of his hand to Thomas and Thomas proved on the palms of the Lord Jesus to put a finger then Thomas believes that the Lord Jesus (0000 ----- 1001). 


Motion perception is the process of inferring the speed and direction of elements in a scene based on visual, vestibular and proprioceptive inputs. Although this process appears straightforward to most observers, it has proven to be a difficult problem from a computational perspective, and extraordinarily difficult to explain in terms of neural processing.
Motion perception is studied by many disciplines, including psychology ( visual perception), neurology, neurophysiology, engineering, and computer science.

                                                  

The dorsal stream (green) and ventral stream (purple) are shown. They originate from a common source in visual cortex. The dorsal stream is responsible for detection of location and motion. 

Neuropsychology

The inability to perceive motion is called akinetopsia and it may be caused by a lesion to cortical area V5 in the extrastriate cortex. Neuropsychological studies of a patient who could not see motion, seeing the world in a series of static "frames" instead, suggested that visual area V5 in humans is homologous to motion processing area MT in primates.

First-order motion perception

 

 

 

Example of Beta movement, often confused with phi phenomenon, in which a succession of still images gives the illusion of a moving ball.

 

Two or more stimuli that are switched on and off in alternation can produce two different motion percepts. The first, demonstrated in the figure to the right is "Beta movement", often used in billboard displays, in which an object is perceived as moving when, in fact, a series of stationary images is being presented. This is also termed "apparent motion" and is the basis of movies and television. However, at faster alternation rates, and if the distance between the stimuli is just right, an illusory "object" the same colour as the background is seen moving between the two stimuli and alternately occluding them. This is called the phi phenomenon and is an example of "pure" motion detection uncontaminated, as in Beta movement, by form cues.
This pure motion perception is referred to as "first-order" motion perception and is mediated by relatively simple "motion sensors" in the visual system, that have evolved to detect a change in luminance at one point on the retina and correlate it with a change in luminance at a neighbouring point on the retina after a short delay. Sensors that work this way have been referred to as either Hassenstein-Reichardt detectors after the scientists Bernhard Hassenstein and Werner Reichardt, who first modelled them, motion-energy sensors, or Elaborated Reichardt Detectors. These sensors detect motion by spatio-temporal correlation and are plausible models for how the visual system may detect motion. There is still considerable debate regarding the exact nature of this process.

Second-order motion perception

Second-order motion is motion in which the moving contour is defined by contrast, texture, flicker or some other quality that does not result in an increase in luminance or motion energy in the Fourier spectrum of the stimulus. There is much evidence to suggest that early processing of first- and second-order motion is carried out by separate pathways. Second-order mechanisms have poorer temporal resolution and are low-pass in terms of the range of spatial frequencies to which they respond. Second-order motion produces a weaker motion aftereffect unless tested with dynamically flickering stimuli. First and second-order signals appear to be fully combined at the level of Area V5/MT of the visual system.

The aperture problem

The aperture problem. The grating appears to be moving down and to the right, perpendicular to the orientation of the bars. But it could be moving in many other directions, such as only down, or only to the right. It is impossible to determine unless the ends of the bars become visible in the aperture.

Each neuron in the visual system is sensitive to visual input in a small part of the visual field, as if each neuron is looking at the visual field through a small window or aperture. The motion direction of a contour is ambiguous, because the motion component parallel to the line cannot be inferred based on the visual input. This means that a variety of contours of different orientations moving at different speeds can cause identical responses in a motion sensitive neuron in the visual system.
Individual neurons early in the visual system (V1) respond to motion that occurs locally within their receptive field. Because each local motion-detecting neuron will suffer from the aperture problem, the estimates from many neurons need to be integrated into a global motion estimate. This appears to occur in Area MT/V5 in the human visual cortex.

Motion integration

Having extracted motion signals (first- or second-order) from the retinal image, the visual system must integrate those individual local motion signals at various parts of the visual field into a 2-dimensional or global representation of moving objects and surfaces. Further processing is required to detect coherent motion or "global motion" present in a scene.
The ability of a subject to detect coherent motion is commonly tested using motion coherence discrimination tasks. For these tasks, dynamic random-dot patterns (also called random dot kinematograms) are used that consist in 'signal' dots moving in one direction and 'noise' dots moving in random directions. The sensitivity to motion coherence is assessed by measuring the ratio of 'signal' to 'noise' dots required to determine the coherent motion direction. The required ratio is called the motion coherence threshold.

Motion in depth

As in other aspects of vision, the observer's visual input is generally insufficient to determine the true nature of stimulus sources, in this case their velocity in the real world. In monocular vision for example, the visual input will be a 2D projection of a 3D scene. The motion cues present in the 2D projection will by default be insufficient to reconstruct the motion present in the 3D scene. Put differently, many 3D scenes will be compatible with a single 2D projection. The problem of motion estimation generalizes to binocular vision when we consider occlusion or motion perception at relatively large distances, where binocular disparity is a poor cue to depth. This fundamental difficulty is referred to as the inverse problem.
Nonetheless, some humans do perceive motion in depth. There are indications that the brain uses various cues, in particular temporal changes in disparity as well as monocular velocity ratios, for producing a sensation of motion in depth.

Perceptual learning of motion

Detection and discrimination of motion can be improved by training with long-term results. Participants trained to detect the movements of dots on a screen in only one direction become particularly good at detecting small movements in the directions around that in which they have been trained. This improvement was still present 10 weeks later. However perceptual learning is highly specific. For example, the participants show no improvement when tested around other motion directions, or for other sorts of stimuli.

Cognitive map

Cognitive map is a type of mental representation which serves an individual to acquire, code, store, recall, and decode information about the relative locations and attributes of phenomena in their spatial environment.  Place cells work with other types of neurons in the hippocampus and surrounding regions of the brain to perform this kind of spatial processing, but the ways in which they function within the hippocampus are still being researched.
Many species of mammals can keep track of spatial location even in the absence of visual, auditory, olfactory, or tactile cues, by integrating their movements—the ability to do this is referred to in the literature as path integration. A number of theoretical models have explored mechanisms by which path integration could be performed by neural networks. In most models, such as those of Samsonovich and McNaughton (1997) or Burak and Fiete (2009), the principal ingredients are (1) an internal representation of position, (2) internal representations of the speed and direction of movement, and (3) a mechanism for shifting the encoded position by the right amount when the animal moves. Because cells in the Medial Entorhinal Cortex(MEC) encode information about position (grid cells ) and movement (head direction cells and conjunctive position-by-direction cells), this area is currently viewed as the most promising candidate for the place in the brain where path integration occurs.



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                                                                  CAMERA 

A camera is an optical instrument for recording or capturing images, which may be stored locally, transmitted to another location, or both. The images may be individual still photographs or sequences of images constituting videos or movies. The camera is a remote sensing device as it senses subjects without physical contact. The word camera comes from camera obscura, which means "dark chamber" and is the Latin name of the original device for projecting an image of external reality onto a flat surface. The modern photographic camera evolved from the camera obscura. The functioning of the camera is very similar to the functioning of the human eye.

Functional description

Basic elements of a modern still camera

 

A camera may work with the light of the visible spectrum or with other portions of the electromagnetic spectrum. A still camera is an optical device which creates a single image of an object or scene and records it on an electronic sensor or photographic film. All cameras use the same basic design: light enters an enclosed box through a converging lens/convex lens and an image is recorded on a light-sensitive medium(mainly a transition metal-halide). A shutter mechanism controls the length of time that light can enter the camera. Most photographic cameras have functions that allow a person to view the scene to be recorded, allow for a desired part of the scene to be in focus, and to control the exposure so that it is not too bright or too dim.A display, often a liquid crystal display (LCD), permits the user to view scene to be recorded and settings such as ISO speed, exposure, and shutter speed.
A movie camera or a video camera operates similarly to a still camera, except it records a series of static images in rapid succession, commonly at a rate of 24 frames per second. When the images are combined and displayed in order, the illusion of motion is achieved.

History

Main article: History of the camera

The forerunner to the photographic camera was the camera obscura. Camera obscura (Latin for "dark room") is the natural optical phenomenon that occurs when an image of a scene at the other side of a screen (or for instance a wall) is projected through a small hole in that screen and forms an inverted image (left to right and upside down) on a surface opposite to the opening. The oldest known record of this principle is a description by Han Chinese philosopher Mozi (ca. 470 to ca. 391 BC). Mozi correctly asserted that the camera obscura image is inverted because light travels in straight lines from its source. In the 11th century
The use of a lens in the opening of a wall or closed window shutter of a darkened room to project images used as a drawing aid has been traced back to circa 1550. Since the late 17th century portable camera obscura devices in tents and boxes were used as a drawing aid.

Further information: Camera obscura

Before the development of the photographic camera, it had been known for hundreds of years that some substances, such as silver salts, darkened when exposed to sunlight. In a series of experiments, published in 1727, the German scientist Johann Heinrich Schulze demonstrated that the darkening of the salts was due to light alone, and not influenced by heat or exposure to air. The Swedish chemist Carl Wilhelm Scheele showed in 1777 that silver chloride was especially susceptible to darkening from light exposure, and that once darkened, it becomes insoluble in an ammonia solution. The first person to use this chemistry to create images was Thomas Wedgwood. To create images, Wedgwood placed items, such as leaves and insect wings, on ceramic pots coated with silver nitrate, and exposed the set-up to light. These images weren't permanent, however, as Wedgwood didn't employ a fixing mechanism. He ultimately failed at his goal of using the process to create fixed images created by a camera obscura.

The first permanent photograph of a camera image was made in 1826 by Joseph Nicéphore Niépce using a sliding wooden box camera made by Charles and Vincent Chevalier in Paris. Niépce had been experimenting with ways to fix the images of a camera obscura since 1816. The photograph Niépce succeeded in creating shows the view from his window. It was made using an 8-hour exposure on pewter coated with bitumen. Niépce called his process "heliography". Niépce corresponded with the inventor Louis-Jacques-Mande Daguerre, and the pair entered into a partnership to improve the heliographic process. Niépce had experimented further with other chemicals, to improve contrast in his heliographs. Daguerre contributed an improved camera obscura design, but the partnership ended when Niépce died in 1833. Daguerre succeeded in developing a high-contrast and extremely sharp image by exposing on a plate coated with silver iodide, and exposing this plate again to mercury vapor. By 1837, he was able to fix the images with a common salt solution. He called this process Daguerreotype, and tried unsuccessfully for a couple years to commercialize it. Eventually, with help of the scientist and politician François Arago, the French government acquired Daguerre's process for public release. In exchange, pensions were provided to Daguerre as well as Niépce's son, Isidore.
In the 1830s, the English scientist Henry Fox Talbot independently invented a process to fix camera images using silver salts. Although dismayed that Daguerre had beaten him to the announcement of photography, on January 31, 1839 he submitted a pamphlet to the Royal Institution entitled Some Account of the Art of Photogenic Drawing, which was the first published description of photography. Within two years, Talbot developed a two-step process for creating photographs on paper, which he called calotypes. The calotyping process was the first to utilize negative prints, which reverse all values in the photograph - black shows up as white and vice versa. Negative prints allow, in principle, unlimited duplicates of the positive print to be made. Calotyping also introduced the ability for a printmaker to alter the resulting image through retouching.Calotypes were never as popular or widespread as daguerreotypes, owing mainly to the fact that the latter produced sharper details. However, because daguerreotypes only produce a direct positive print, no duplicates can be made. It is the two-step negative/positive process that formed the basis for modern photography.
The first photographic camera developed for commercial manufacture was a daguerreotype camera, built by Alphonse Giroux in 1839. Giroux signed a contract with Daguerre and Isidore Niépce to produce the cameras in France, with each device and accessories costing 400 francs.The camera was a double-box design, with a landscape lens fitted to the outer box, and a holder for a ground glass focusing screen and image plate on the inner box. By sliding the inner box, objects at various distances could be brought to as sharp a focus as desired. After a satisfactory image had been focused on the screen, the screen was replaced with a sensitized plate. A knurled wheel controlled a copper flap in front of the lens, which functioned as a shutter. The early daguerreotype cameras required long exposure times, which in 1839 could be from 5 to 30 minutes.
After the introduction of the Giroux daguerreotype camera, other manufacturers quickly produced improved variations. Charles Chevalier, who had earlier provided Niépce with lenses, created in 1841 a double-box camera using a half-sized plate for imaging. Chevalier’s camera had a hinged bed, allowing for half of the bed to fold onto the back of the nested box. In addition to having increased portability, the camera had a faster lens, bringing exposure times down to 3 minutes, and a prism at the front of the lens, which allowed the image to be laterally correct. Another French design emerged in 1841, created by Marc Antoine Gaudin. The Nouvel Appareil Gaudin camera had a metal disc with three differently-sized holes mounted on the front of the lens. Rotating to a different hole effectively provided variable f-stops, letting in different amount of light into the camera. Instead of using nested boxes to focus, the Gaudin camera used nested brass tubes. In Germany, Peter Friedrich Voigtländer designed an all-metal camera with a conical shape that produced circular pictures of about 3 inches in diameter. The distinguishing characteristic of the Voigtländer camera was its use of a lens designed by Josef Max Petzval. The f/3.5 Petzval lens was nearly 30 times faster than any other lens of the period, and was the first to be made specifically for portraiture. Its design was the most widely used for portraits until Carl Zeiss introduced the anastigmat lens in 1889.
Within a decade of being introduced in America, 3 general forms of camera were in popular use: the American- or chamfered-box camera, the Robert’s-type camera or “Boston box”, and the Lewis-type camera. The American-box camera had beveled edges at the front and rear, and an opening in the rear where the formed image could be viewed on ground glass. The top of the camera had hinged doors for placing photographic plates. Inside there was one available slot for distant objects, and another slot in the back for close-ups. The lens was focused either by sliding or with a rack and pinion mechanism. The Robert’s-type cameras were similar to the American-box, except for having a knob-fronted worm gear on the front of the camera, which moved the back box for focusing. Many Robert’s-type cameras allowed focusing directly on the lens mount. The third popular daguerreotype camera in America was the Lewis-type, introduced in 1851, which utilized a bellows for focusing. The main body of the Lewis-type camera was mounted on the front box, but the rear section was slotted into the bed for easy sliding. Once focused, a set screw was tightened to hold the rear section in place. Having the bellows in the middle of the body facilitated making a second, in-camera copy of the original image.
Daguerreotype cameras formed images on silvered copper plates. The earliest daguerreotype cameras required several minutes to half an hour to expose images on the plates. By 1840, exposure times were reduced to just a few seconds owing to improvements in the chemical preparation and development processes, and to advances in lens design. American daguerreotypists introduced manufactured plates in mass production, and plate sizes became internationally standardized: whole plate (6.5 x 8.5 inches), three-quarter plate (5.5 x 7 1/8 inches), half plate (4.5 x 5.5 inches), quarter plate (3.25 x 4.25 inches), sixth plate (2.75 x 3.25 inches), and ninth plate (2 x 2.5 inches). Plates were often cut to fit cases and jewelry with circular and oval shapes. Larger plates were produced, with sizes such as 9 x 13 inches (“double-whole” plate), or 13.5 x 16.5 inches (Southworth & Hawes’ plate).
The collodion wet plate process that gradually replaced the daguerreotype during the 1850s required photographers to coat and sensitize thin glass or iron plates shortly before use and expose them in the camera while still wet. Early wet plate cameras were very simple and little different from Daguerreotype cameras, but more sophisticated designs eventually appeared. The Dubroni of 1864 allowed the sensitizing and developing of the plates to be carried out inside the camera itself rather than in a separate darkroom. Other cameras were fitted with multiple lenses for photographing several small portraits on a single larger plate, useful when making cartes de visite. It was during the wet plate era that the use of bellows for focusing became widespread, making the bulkier and less easily adjusted nested box design obsolete.
For many years, exposure times were long enough that the photographer simply removed the lens cap, counted off the number of seconds (or minutes) estimated to be required by the lighting conditions, then replaced the cap. As more sensitive photographic materials became available, cameras began to incorporate mechanical shutter mechanisms that allowed very short and accurately timed exposures to be made.
The use of photographic film was pioneered by George Eastman, who started manufacturing paper film in 1885 before switching to celluloid in 1889. His first camera, which he called the "Kodak," was first offered for sale in 1888. It was a very simple box camera with a fixed-focus lens and single shutter speed, which along with its relatively low price appealed to the average consumer. The Kodak came pre-loaded with enough film for 100 exposures and needed to be sent back to the factory for processing and reloading when the roll was finished. By the end of the 19th century Eastman had expanded his lineup to several models including both box and folding cameras.
Films also made possible capture of motion (cinematography) establishing the movie industry by end of 19th century.
The first camera using digital electronics to capture and store images was developed by Kodak engineer Steven Sasson in 1975. He used a charge-coupled device (CCD) provided by Fairchild Semiconductor, which provided only 0.01 megapixels to capture images. Sasson combined the CCD device with movie camera parts to create a digital camera that saved black and white images onto a cassette tape. The images were then read from the cassette and viewed on a TV monitor. Later, cassette tapes were replaced by flash memory.
Gradually in the 2000s and 2010s, digital cameras became the dominant type of camera across consumer, television and movies.

Mechanics 

Image capture

Traditional cameras capture light onto photographic plate or photographic film. Video and digital cameras use an electronic image sensor, usually a charge coupled device (CCD) or a CMOS sensor to capture images which can be transferred or stored in a memory card or other storage inside the camera for later playback or processing.
Cameras that capture many images in sequence are known as movie cameras or as ciné cameras in Europe; those designed for single images are still cameras.
However these categories overlap as still cameras are often used to capture moving images in special effects work and many modern cameras can quickly switch between still and motion recording modes.

Lens

Main articles: Camera lens and Photographic lens design

The lens of a camera captures the light from the subject and brings it to a focus on the sensor. The design and manufacture of the lens is critical to the quality of the photograph being taken. The technological revolution in camera design in the 19th century revolutionized optical glass manufacture and lens design with great benefits for modern lens manufacture in a wide range of optical instruments from reading glasses to microscopes. Pioneers included Zeiss and Leitz.
Camera lenses are made in a wide range of focal lengths. They range from extreme wide angle, and standard, medium telephoto. Each lens is best suited to a certain type of photography. The extreme wide angle may be preferred for architecture because it has the capacity to capture a wide view of a building. The normal lens, because it often has a wide aperture, is often used for street and documentary photography. The telephoto lens is useful for sports and wildlife but it is more susceptible to camera shake.

Focus

 

 

The distance range in which objects appear clear and sharp, called depth of field, can be adjusted by many cameras. This allows for a photographer to control which objects appear in focus, and which do not.

Due to the optical properties of photographic lenses, only objects within a limited range of distances from the camera will be reproduced clearly. The process of adjusting this range is known as changing the camera's focus. There are various ways of focusing a camera accurately. The simplest cameras have fixed focus and use a small aperture and wide-angle lens to ensure that everything within a certain range of distance from the lens, usually around 3 metres (10 ft) to infinity, is in reasonable focus. Fixed focus cameras are usually inexpensive types, such as single-use cameras. The camera can also have a limited focusing range or scale-focus that is indicated on the camera body. The user will guess or calculate the distance to the subject and adjust the focus accordingly. On some cameras this is indicated by symbols (head-and-shoulders; two people standing upright; one tree; mountains).
Rangefinder cameras allow the distance to objects to be measured by means of a coupled parallax unit on top of the camera, allowing the focus to be set with accuracy. Single-lens reflex cameras allow the photographer to determine the focus and composition visually using the objective lens and a moving mirror to project the image onto a ground glass or plastic micro-prism screen. Twin-lens reflex cameras use an objective lens and a focusing lens unit (usually identical to the objective lens.) in a parallel body for composition and focusing. View cameras use a ground glass screen which is removed and replaced by either a photographic plate or a reusable holder containing sheet film before exposure. Modern cameras often offer autofocus systems to focus the camera automatically by a variety of methods.
Some experimental cameras, for example the planar Fourier capture array (PFCA), do not require focusing to allow them to take pictures. In conventional digital photography, lenses or mirrors map all of the light originating from a single point of an in-focus object to a single point at the sensor plane. Each pixel thus relates an independent piece of information about the far-away scene. In contrast, a PFCA does not have a lens or mirror, but each pixel has an idiosyncratic pair of diffraction gratings above it, allowing each pixel to likewise relate an independent piece of information (specifically, one component of the 2D Fourier transform) about the far-away scene. Together, complete scene information is captured and images can be reconstructed by computation.
Some cameras have post focusing. Post focusing means take the pictures first and then focusing later at the personal computer. The camera uses many tiny lenses on the sensor to capture light from every camera angle of a scene and is called plenoptics technology. A current plenoptic camera design has 40,000 lenses working together to grab the optimal picture.

Exposure control

The size of the aperture and the brightness of the scene controls the amount of light that enters the camera during a period of time, and the shutter controls the length of time that the light hits the recording surface. Equivalent exposures can be made using a large aperture size with a fast shutter speed and a small aperture with a slow shutter.

Shutters

 Shutter (photography)

Although a range of different shutter devices have been used during the development of the camera only two types have been widely used and remain in use today.
The Leaf shutter or more precisely the in-lens shutter is a shutter contained within the lens structure, often close to the diaphragm consisting of a number of metal leaves which are maintained under spring tension and which are opened and then closed when the shutter is released. The exposure time is determined by the interval between opening and closing. In this shutter design, the whole film frame is exposed at one time. This makes flash synchronisation much simpler as the flash only needs to fire once the shutter is fully open. Disadvantages of such shutters are their inability to reliably produce very fast shutter speeds ( faster than 1/500th second or so) and the additional cost and weight of having to include a shutter mechanism for every lens.
The focal-plane shutter operates as close to the film plane as possible and consists of cloth curtains that are pulled across the film plane with a carefully determined gap between the two curtains (typically running horizontally) or consisting of a series of metal plates (typically moving vertically) just in front of the film plane. The focal-plane shutter is primarily associated with the single lens reflex type of cameras, since covering the film rather than blocking light passing through the lens allows the photographer to view through the lens at all times except during the exposure itself. Covering the film also facilitates removing the lens from a loaded camera (many SLRs have interchangeable lenses).

Complexities

Professional medium format SLR (single-lens-reflex) cameras (typically using 120/220 roll film) use a hybrid solution, since such a large focal-plane shutter would be difficult to make and/or may run slowly. A manually inserted blade known as a dark slide allows the film to be covered when changing lenses or film backs. A blind inside the camera covers the film prior to and after the exposure (but is not designed to be able to give accurately controlled exposure times) and a leaf shutter that is normally open is installed in the lens. To take a picture, the leaf shutter closes, the blind opens, the leaf shutter opens then closes again, and finally the blind closes and the leaf shutter re-opens (the last step may only occur when the shutter is re-cocked).
Using a focal-plane shutter, exposing the whole film plane can take much longer than the exposure time. The exposure time does not depend on the time taken to make the exposure over all, only on the difference between the time a specific point on the film is uncovered and then covered up again. For example, an exposure of 1/1000 second may be achieved by the shutter curtains moving across the film plane in 1/50th of a second but with the two curtains only separated by 1/20th of the frame width. In fact in practice the curtains do not run at a constant speed as they would in an ideal design, obtaining an even exposure time depends mainly on being able to make the two curtains accelerate in a similar manner.
When photographing rapidly moving objects, the use of a focal-plane shutter can produce some unexpected effects, since the film closest to the start position of the curtains is exposed earlier than the film closest to the end position. Typically this can result in a moving object leaving a slanting image. The direction of the slant depends on the direction the shutter curtains run in (noting also that as in all cameras the image is inverted and reversed by the lens, i.e. "top-left" is at the bottom right of the sensor as seen by a photographer behind the camera).
Focal-plane shutters are also difficult to synchronise with flash bulbs and electronic flash and it is often only possible to use flash at shutter speeds where the curtain that opens to reveal the film completes its run and the film is fully uncovered, before the second curtain starts to travel and cover it up again. Typically 35mm film SLRs could sync flash at only up to 1/60th second if the camera has horizontal run cloth curtains, and 1/125th if using a vertical run metal shutter.

Formats

 Film formats

A wide range of film and plate formats have been used by cameras. In the early history plate sizes were often specific for the make and model of camera although there quickly developed some standardisation for the more popular cameras. The introduction of roll film drove the standardization process still further so that by the 1950s only a few standard roll films were in use. These included 120 film providing 8, 12 or 16 exposures, 220 film providing 16 or 24 exposures, 127 film providing 8 or 12 exposures (principally in Brownie cameras) and 135 (35 mm film) providing 12, 20 or 36 exposures – or up to 72 exposures in the half-frame format or in bulk cassettes for the Leica Camera range.
For cine cameras, film 35 mm wide and perforated with sprocket holes was established as the standard format in the 1890s. It was used for nearly all film-based professional motion picture production. For amateur use, several smaller and therefore less expensive formats were introduced. 17.5 mm film, created by splitting 35 mm film, was one early amateur format, but 9.5 mm film, introduced in Europe in 1922, and 16 mm film, introduced in the US in 1923, soon became the standards for "home movies" in their respective hemispheres. In 1932, the even more economical 8 mm format was created by doubling the number of perforations in 16 mm film, then splitting it, usually after exposure and processing. The Super 8 format, still 8 mm wide but with smaller perforations to make room for substantially larger film frames, was introduced in 1965.

Camera accessories

Accessories for cameras are mainly for care, protection, special effects and functions.

• Lens hood: used on the end of a lens to block the sun or other light source to prevent glare and lens flare (see also matte box).
• Lens cap: covers and protects the lens during storage.
• Lens adapter: sometimes called a step-ring, adapts the lens to other size filters.
• Lens filters: allow artificial colors or change light density.
• Lens extension tubes allow close focus in macro photography.
• Flash equipment: including light diffuser, mount and stand, reflector, soft box, trigger and cord.
• Care and protection: including camera case and cover, maintenance tools, and screen protector.
• Large format cameras use special equipment which includes magnifier loupe, view finder, angle finder, focusing rail /truck.
• Battery and sometimes a charger.
• Some professional SLR could be provided with interchangeable finders for eye-level or waist-level focusing, focusing screens, eye-cup, data backs, motor-drives for film transportation or external battery packs.
• Tripod, microscope adapter, cable release, electric wire release.

Camera design history

Plate camera

 Photographic plate

The earliest cameras produced in significant numbers used sensitised glass plates were plate cameras. Light entered a lens mounted on a lens board which was separated from the plate by an extendible bellows.There were simple box cameras for glass plates but also single-lens reflex cameras with interchangeable lenses and even for color photography (Autochrome Lumière). Many of these cameras had controls to raise or lower the lens and to tilt it forwards or backwards to control perspective.
Focussing of these plate cameras was by the use of a ground glass screen at the point of focus. Because lens design only allowed rather small aperture lenses, the image on the ground glass screen was faint and most photographers had a dark cloth to cover their heads to allow focussing and composition to be carried out more easily. When focus and composition were satisfactory, the ground glass screen was removed and a sensitised plate put in its place protected by a dark slide. To make the exposure, the dark slide was carefully slid out and the shutter opened and then closed and the dark slide replaced.
Glass plates were later replaced by sheet film in a dark slide for sheet film; adaptor sleeves were made to allow sheet film to be used in plate holders. In addition to the ground glass, a simple optical viewfinder was often fitted. Cameras which take single exposures on sheet film and are functionally identical to plate cameras were used for static, high-image-quality work; much longer in 20th century, see Large-format camera, below.

Folding camera

 Folding camera

The introduction of films enabled the existing designs for plate cameras to be made much smaller and for the base-plate to be hinged so that it could be folded up compressing the bellows. These designs were very compact and small models were dubbed vest pocket cameras. Folding rollfilm cameras were preceded by folding plate cameras, more compact than other designs.

Box camera

 Box camera

Box cameras were introduced as a budget level camera and had few if any controls. The original box Brownie models had a small reflex viewfinder mounted on the top of the camera and had no aperture or focusing controls and just a simple shutter. Later models such as the Brownie 127 had larger direct view optical viewfinders together with a curved film path to reduce the impact of deficiencies in the lens.

Rangefinder camera

 Rangefinder camera

As camera a lens technology developed and wide aperture lenses became more common, rangefinder cameras were introduced to make focusing more precise. Early rangefinders had two separate viewfinder windows, one of which is linked to the focusing mechanisms and moved right or left as the focusing ring is turned. The two separate images are brought together on a ground glass viewing screen. When vertical lines in the object being photographed meet exactly in the combined image, the object is in focus. A normal composition viewfinder is also provided. Later the viewfinder and rangefinder were combined. Many rangefinder cameras had interchangeable lenses, each lens requiring its own range- and viewfinder linkages.
Rangefinder cameras were produced in half- and full-frame 35 mm and rollfilm (medium format).

Instant picture camera

 Instant camera

After exposure every photograph is taken through pinch rollers inside of the instant camera. Thereby the developer paste contained in the paper 'sandwich' distributes on the image. After a minute, the cover sheet just needs to be removed and one gets a single original positive image with a fixed format. With some systems it was also possible to create an instant image negative, from which then could be made copies in the photo lab. The ultimate development was the SX-70 system of Polaroid, in which a row of ten shots - engine driven - could be made without having to remove any cover sheets from the picture. There were instant cameras for a variety of formats, as well as cartridges with instant film for normal system cameras.

Single-lens reflex

 Single-lens reflex camera

In the single-lens reflex camera, the photographer sees the scene through the camera lens. This avoids the problem of parallax which occurs when the viewfinder or viewing lens is separated from the taking lens. Single-lens reflex cameras have been made in several formats including sheet film 5x7" and 4x5", roll film 220/120 taking 8,10, 12 or 16 photographs on a 120 roll and twice that number of a 220 film. These correspond to 6x9, 6x7, 6x6 and 6x4.5 respectively (all dimensions in cm). Notable manufacturers of large format and roll film SLR cameras include Bronica, Graflex, Hasselblad, Mamiya, and Pentax. However the most common format of SLR cameras has been 35 mm and subsequently the migration to digital SLR cameras, using almost identical sized bodies and sometimes using the same lens systems.
Almost all SLR cameras use a front surfaced mirror in the optical path to direct the light from the lens via a viewing screen and pentaprism to the eyepiece. At the time of exposure the mirror is flipped up out of the light path before the shutter opens. Some early cameras experimented with other methods of providing through-the-lens viewing, including the use of a semi-transparent pellicle as in the Canon Pellix^[44] and others with a small periscope such as in the Corfield Periflex series.^[45]

Twin-lens reflex

 Twin-lens reflex camera

Twin-lens reflex cameras used a pair of nearly identical lenses, one to form the image and one as a viewfinder. The lenses were arranged with the viewing lens immediately above the taking lens. The viewing lens projects an image onto a viewing screen which can be seen from above. Some manufacturers such as Mamiya also provided a reflex head to attach to the viewing screen to allow the camera to be held to the eye when in use. The advantage of a TLR was that it could be easily focussed using the viewing screen and that under most circumstances the view seen in the viewing screen was identical to that recorded on film. At close distances however, parallax errors were encountered and some cameras also included an indicator to show what part of the composition would be excluded.
Some TLR had interchangeable lenses but as these had to be paired lenses they were relatively heavy and did not provide the range of focal lengths that the SLR could support. Most TLRs used 120 or 220 film; some used the smaller 127 film.

Large-format camera

 View camera

The large-format camera, taking sheet film, is a direct successor of the early plate cameras and remained in use for high quality photography and for technical, architectural and industrial photography. There are three common types, the view camera with its monorail and field camera variants, and the press camera. They have an extensible bellows with the lens and shutter mounted on a lens plate at the front. Backs taking rollfilm, and later digital backs are available in addition to the standard dark slide back. These cameras have a wide range of movements allowing very close control of focus and perspective. Composition and focusing is done on view cameras by viewing a ground-glass screen which is replaced by the film to make the exposure; they are suitable for static subjects only, and are slow to use.

Medium-format camera

 Medium-format

Medium-format cameras have a film size between the large-format cameras and smaller 35mm cameras. Typically these systems use 120 or 220 rollfilm. The most common image sizes are 6×4.5 cm, 6×6 cm and 6×7 cm; the older 6×9 cm is rarely used. The designs of this kind of camera show greater variation than their larger brethren, ranging from monorail systems through the classic Hasselblad model with separate backs, to smaller rangefinder cameras. There are even compact amateur cameras available in this format.

Subminiature camera

 Subminiature camera

Cameras taking film significantly smaller than 35 mm were made. Subminiature cameras were first produced in the nineteenth century. The expensive 8×11 mm Minox, the only type of camera produced by the company from 1937 to 1976, became very widely known and was often used for espionage (the Minox company later also produced larger cameras). Later inexpensive subminiatures were made for general use, some using rewound 16 mm cine film. Image quality with these small film sizes was limited.

Movie camera

 Movie camera

A ciné camera or movie camera takes a rapid sequence of photographs on image sensor or strips of film. In contrast to a still camera, which captures a single snapshot at a time, the ciné camera takes a series of images, each called a "frame" through the use of an intermittent mechanism.
The frames are later played back in a ciné projector at a specific speed, called the "frame rate" (number of frames per second). While viewing, a person's eyes and brain merge the separate pictures to create the illusion of motion. The first ciné camera was built around 1888 and by 1890 several types were being manufactured. The standard film size for ciné cameras was quickly established as 35mm film and this remained in use until transition to digital cinematography. Other professional standard formats include 70 mm film and 16mm film whilst amateurs film makers used 9.5 mm film, 8mm film or Standard 8 and Super 8 before the move into digital format.
The size and complexity of ciné cameras varies greatly depending on the uses required of the camera. Some professional equipment is very large and too heavy to be hand held whilst some amateur cameras were designed to be very small and light for single-handed operation.

Camcorders

 Camcorders

A camcorder is an electronic device combining a video camera and a video recorder. Although marketing materials may use the colloquial term "camcorder", the name on the package and manual is often "video camera recorder". Most devices capable of recording video are camera phones and digital cameras primarily intended for still pictures; the term "camcorder" is used to describe a portable, self-contained device, with video capture and recording its primary function.

Professional video camera

 Professional video camera

A professional video camera (often called a television camera even though the use has spread beyond television) is a high-end device for creating electronic moving images (as opposed to a movie camera, that earlier recorded the images on film). Originally developed for use in television studios, they are now also used for music videos, direct-to-video movies, corporate and educational videos, marriage videos etc.
These cameras earlier used vacuum tubes and later electronic sensors.

Digital camera

 Digital camera

A digital camera (or digicam) is a camera that encodes digital images and videos digitally and stores them for later reproduction. Most cameras sold today are digital, and digital cameras are incorporated into many devices ranging from mobile phones (called camera phones) to vehicles.
Digital and film cameras share an optical system, typically using a lens with a variable diaphragm to focus light onto an image pickup device. The diaphragm and shutter admit the correct amount of light to the imager, just as with film but the image pickup device is electronic rather than chemical. However, unlike film cameras, digital cameras can display images on a screen immediately after being recorded, and store and delete images from memory. Most digital cameras can also record moving videos with sound. Some digital cameras can crop and stitch pictures and perform other elementary image editing.
Consumers adopted digital cameras in 1990s. Professional video cameras transitioned to digital around the 2000s-2010s. Finally movie cameras transitioned to digital in the 2010s.

panoramic camera

 Panoramic photography

Panoramic cameras are fixed-lens digital action cameras. They usually have a single fish-eye lens or multiple lenses, to cover the entire 180° up to 360° in their field of view.

VR Camera

 VR photography

VR cameras are panoramic cameras that also cover the top and bottom in their field of view. . There have also been camera rigs employing multiple cameras to cover the whole 360° by 360° field of view. The most famous VR camera rig is known as 'Google Jump'. 

• 

  The Giroux daguerreotype camera, the first to be commercially produced
  
• 

  19th century studio camera, with bellows for focusing
  
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  Rangefinder camera, Leica c. 1936
  
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  Leica M9 with a Summicron-M 28/2 ASPH Lens
  
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  Olympus Four Thirds single-lens reflex camera
  
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  Twin-lens reflex camera
  
• 

  Cinématographe Lumière at the Institut Lumière, France
  
• 

  Front and back of Canon PowerShot A95, a typical pocket-size digital camera
  
• 

  Digital television camera by Sony
  
• 

  Arri Alexa, a digital movie camera
  
•     

  
  

  
  

  
  

                                                      X . III                 

   Motion estimation is the process of determining motion vectors that describe the transformation from one 2D image to another; usually from adjacent frames in a video sequence. It is an ill-posed problem as the motion is in three dimensions but the images are a projection of the 3D scene onto a 2D plane. The motion vectors may relate to the whole image (global motion estimation) or specific parts, such as rectangular blocks, arbitrary shaped patches or even per pixel. The motion vectors may be represented by a translational model or many other models that can approximate the motion of a real video camera, such as rotation and translation in all three dimensions and zoom.  

     

  Motion vectors that result from a movement into the ${\displaystyle z}$-plane of the image, combined with a lateral movement to the lower-right. This is a visualization of the motion estimation performed in order to compress an MPEG movie. 

  
  

  Related terms

  More often than not, the term motion estimation and the term optical flow are used interchangeably. It is also related in concept to image registration and stereo correspondence. In fact all of these terms refer to the process of finding corresponding points between two images or video frames. The points that correspond to each other in two views (images or frames) of a real scene or object are "usually" the same point in that scene or on that object. Before we do motion estimation, we must define our measurement of correspondence, i.e., the matching metric, which is a measurement of how similar two image points are. There is no right or wrong here; the choice of matching metric is usually related to what the final estimated motion is used for as well as the optimisation strategy in the estimation process.
  

  Algorithms

  The methods for finding motion vectors can be categorised into pixel based methods ("direct") and feature based methods ("indirect"). A famous debate resulted in two papers from the opposing factions being produced to try to establish a conclusion.
  

  Direct methods

  • Block-matching algorithm
  • Phase correlation and frequency domain methods
  • Pixel recursive algorithms
  • Optical flow

  Indirect methods

  Indirect methods use features, such as corner detection, and match corresponding features between frames, usually with a statistical function applied over a local or global area. The purpose of the statistical function is to remove matches that do not correspond to the actual motion.
  Statistical functions that have been successfully used include RANSAC.
  

  Additional note on the categorization

  It can be argued that almost all methods require some kind of definition of the matching criteria. The difference is only whether you summarise over a local image region first and then compare the summarisation (such as feature based methods), or you compare each pixel first (such as squaring the difference) and then summarise over a local image region (block base motion and filter based motion). An emerging type of matching criteria summarises a local image region first for every pixel location (through some feature transform such as Laplacian transform), compares each summarised pixel and summarises over a local image region again. Some matching criteria has the ability to exclude points that does not actually correspond to each other albeit producing a good matching score, others does not have this ability, but they are still matching criteria.
  

  Applications

  Video coding

  Applying the motion vectors to an image to synthesize the transformation to the next image is called motion compensation. As a way of exploiting temporal redundancy, motion estimation and compensation are key parts of video compression. Almost all video coding standards use block-based motion estimation and compensation such as the MPEG series including the most recent HEVC.  

  
  

  
  

           X  .  IIII  MOTION CONTROL   

   

   A motion controller controls the motion of some object. Frequently motion controllers are implemented using digital computers, but motion controllers can also be implemented with only analog components as well.  

  Implementation

  Motion controllers require a load (something to be moved), a prime mover (something to cause the load to move), some sensors (to be able to sense the motion and monitor the prime mover), and a controller to provie, packaging, distribution or use^{[citation needed]}.
  

  Benefits

  Motion controllers are used to achieve some desired benefit(s) which can include:
  

  • increased position and speed accuracy
  • higher speeds
  • faster reaction time
  • increased production
  • smoother movements
  • reduction in costs
  • integration with other automation
  • integration with other processes
  • ability to convert desired specifications into motion required to produce a product
  • increased information and ability diagnose and troubleshoot
  • increased consistency
  • improved efficiency
  • elimination of hazards to humans or animals

  The history of true video motion control without a joystick goes back to 1987 where an experimental photographer Vincenzo Giovanni Ruello has released archive footage showing him moving his hand in front of a specially designed video graphic and causing the centre of the graphic to move and change without disturbance to the outer graphic a system later perfected in the 21st century with such systems as Wii and others.
  

  Gaming

  

  Wii Remote with original strap.

  Motion controllers using accelerometers are used as controllers for video games, which was publicly introduced in 1981 by Datasoft's "Le Stick" controller for the Atari 2600, and made more popular since 2006 by the Wii Remote controller for Nintendo's Wii console, which uses accelerometers to detect its approximate orientation and acceleration, and serves an image sensor, so it can be used as a pointing device. It was followed by other similar devices, including the ASUS Eee Stick, Sony PlayStation Move (which also uses magnetometers to track the Earth's magnetic field and computer vision via the PlayStation Eye to aid in position tracking), and HP Swing.Other systems use different mechanisms for input, such as Microsoft's Kinect, which combines infrared structured light and computer vision, and the Razer Hydra, which uses a magnetic field to determine position and orientation.
  The Sega AM2 arcade game Hang-On, designed by Yu Suzuki, was controlled using a video game arcade cabinet resembling a motorbike, which the player moved with their body. This began the "Taikan" trend, the use of motion-controlled hydraulic arcade cabinets in many arcade games of the late 1980s, two decades before motion controls became popular on video game consoles. The Sega Activator, based on the Light Harp invented by Assaf Gurner, An Israeli musician and Kung Fu martial artist who researched inter disciplinarian concepts to create the experience of playing an instrument using the whole body's motion.  was released for the Mega Drive (Genesis) in 1993. It could read the player's physical movements and was the first controller to allow full-body motion sensing, The original invention related to a 3 octaves musical instrument that could interpret the user's gestures into musical notes via MIDI protocol. The invention was registered as patent initially in Israel on May 11 1988 after 4 years of R&D. In 1992 the first complete Light Harp was created by Assaf Gurner and Oded Zur and was presented to Sega of America, However, it was a commercial failure due to its "unwieldiness and inaccuracy".Another early motion-sensing device was the Sega VR headset, first announced in 1991. It featured built-in sensors that tracked the player's movement and head position, but was never officially released. Another early example is the 2000 light gun shooter arcade game Police 911, which used motion sensing technology to detect the player's movements, which are reflected by the player character within the game. The Atari Mindlink was an early proposed motion controller for the Atari 2600, which measured the movement of the user's eyebrows with a fitted headband.
  
   X  .  IIIII  MOTION DETECTOR 
  
  A motion detector is a device that detects moving objects, particularly people. Such a device is often integrated as a component of a system that automatically performs a task or alerts a user of motion in an area. They form a vital component of security, automated lighting control, home control, energy efficiency, and other useful systems.
  
  
  A motion detector attached to an outdoor, automatic light.
  
  

  Overview

  

  Low-cost motion detector used to control lighting.

  An electronic motion detector contains an optical, microwave, or acoustic sensor, and in many cases a transmitter for illumination. However, a passive sensor senses a signature only from the moving object via emission or reflection, i.e., it can be emitted by the object, or by some ambient emitter such as the sun or a radio station of sufficient strength. Changes in the optical, microwave, or acoustic field in the device's proximity are interpreted by the electronics based on one of the technologies listed below. Most low-cost motion detectors can detect up to distances of at least 15 feet (4.6 m). Specialized systems cost more, but have much longer ranges. Tomographic motion detection systems can cover much larger areas because the radio waves are at frequencies which penetrate most walls and obstructions, and are detected in multiple locations, not only at the location of the transmitter.
  Motion detectors have found wide use in domestic and commercial applications. One common application is activating automatic door openers in businesses and public buildings. Motion sensors are also widely used in lieu of a true occupancy sensor in activating street lights or indoor lights in walkways, such as lobbies and staircases. In such smart lighting systems, energy is conserved by only powering the lights for the duration of a timer, after which the person has presumably left the area. A motion detector may be among the sensors of a burglar alarm that is used to alert the home owner or security service when it detects the motion of a possible intruder. Such a detector may also trigger a security camera to record the possible intrusion.
  

  Sensor technology

  See also: Motion detection § Methods

  

  A passive infrared detector mounted on circuit board (right), along with photoresistive detector for visible light (left). This is the type most commonly encountered in household motion sensing devices and is designed to turn on a light only when motion is detected and when the surrounding environment is sufficiently dark.

  Several types of motion detection are in wide use:
  

  Passive infrared (PIR)

  Passive infrared (PIR) sensors are sensitive to a person's skin temperature through emitted black body radiation at mid-infrared wavelengths, in contrast to background objects at room temperature. No energy is emitted from the sensor, thus the name passive infrared. This distinguishes it from the electric eye for instance (not usually considered a motion detector), in which the crossing of a person or vehicle interrupts a visible or infrared beam.

  Microwave

  These detect motion through the principle of Doppler radar, and are similar to a radar speed gun. A continuous wave of microwave radiation is emitted, and phase shifts in the reflected microwaves due to motion of an object toward (or away from) the receiver result in a heterodyne signal at a low audio frequency.

  Ultrasonic

  An ultrasonic wave (sound at a frequency higher than a human ear can hear) is emitted and reflections from nearby objects are received. Exactly as in Doppler radar, heterodyne detection of the received field indicates motion. The detected doppler shift is also at low audio frequencies (for walking speeds) since the ultrasonic wavelength of around a centimeter is similar to the wavelengths used in microwave motion detectors. One potential drawback of ultrasonic sensors is that the sensor can be sensitive to motion in areas where coverage is undesired, for instance, due to reflections of sound waves around corners. Such extended coverage may be desirable for lighting control, where the goal is detection of any occupancy in an area. But for opening an automatic door, for example, a sensor selective to traffic in the path toward the door is superior.

  Tomographic motion detector

  These systems sense disturbances to radio waves as they pass from node to node of a mesh network. They have the ability to detect over large areas completely because they can sense through walls and other obstructions.

  Video camera software

  With the proliferation of low-cost digital cameras able to shoot video, it is possible to use the output of such a camera to detect motion in its field of view using software. This solution is particularly attractive when the intent is to record video triggered by motion detection, as no hardware beyond the camera and computer is needed. Since the observed field may be normally illuminated, this may be considered another passive technology. However it can also be used together with near-infrared illumination to detect motion in the dark, that is, with the illumination at a wavelength undetectable by a human eye.

  Gesture detector

  Photodetectors and infrared lighting elements can support digital screens to detect hand motions and gestures with the aid of machine learning algorithms.

  Dual-technology motion detectors

  Many modern motion detectors use combinations of different technologies. While combining multiple sensing technologies into one detector can help reduce false triggering, it does so at the expense of reduced detection probabilities and increased vulnerability. For example, many dual-tech sensors combine both a PIR sensor and a microwave sensor into one unit. For motion to be detected, both sensors must trip together. This lowers the probability of a false alarm since heat and light changes may trip the PIR but not the microwave, or moving tree branches may trigger the microwave but not the PIR. If an intruder is able to fool either the PIR or microwave, however, the sensor will not detect it.
  Often, PIR technology is paired with another model to maximize accuracy and reduce energy use. PIR draws less energy than emissive microwave detection, and so many sensors are calibrated so that when the PIR sensor is tripped, it activates a microwave sensor. If the latter also picks up an intruder, then the alarm is sounded.
  
  
  X  .  IIIIII  OPTICAL FLOW
  
  Optical flow or optic flow is the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer and a scene. The concept of optical flow was introduced by the American psychologist James J. Gibson in the 1940s to describe the visual stimulus provided to animals moving through the world.Gibson stressed the importance of optic flow for affordance perception, the ability to discern possibilities for action within the environment. Followers of Gibson and his ecological approach to psychology have further demonstrated the role of the optical flow stimulus for the perception of movement by the observer in the world; perception of the shape, distance and movement of objects in the world; and the control of locomotion.
  The term optical flow is also used by roboists, encompassing related techniques from image processing and control of navigation including motion detection, object segmentation, time-to-contact information, focus of expansion calculations, luminance, motion compensated encoding, and stereo disparity measurement.

    The optic flow experienced by a rotating observer (in this case a fly). The direction and magnitude of optic flow at each location is represented by the direction and length of each arrow.  

  
  

  Estimation

  Sequences of ordered images allow the estimation of motion as either instantaneous image velocities or discrete image displacements. Fleet and Weiss provide a tutorial introduction to gradient based optical flow. John L. Barron, David J. Fleet, and Steven Beauchemin provide a performance analysis of a number of optical flow techniques. It emphasizes the accuracy and density of measurements.
  The optical flow methods try to calculate the motion between two image frames which are taken at times t and ${\displaystyle t+\Delta t}$ at every voxel position. These methods are called differential since they are based on local Taylor series approximations of the image signal; that is, they use partial derivatives with respect to the spatial and temporal coordinates.
  For a 2D+t dimensional case (3D or n-D cases are similar) a voxel at location ${\displaystyle (x,y,t)}$ with intensity ${\displaystyle I(x,y,t)}$ will have moved by ${\displaystyle \Delta x}$, ${\displaystyle \Delta y}$ and ${\displaystyle \Delta t}$ between the two image frames, and the following brightness constancy constraint can be given:
  

  ${\displaystyle I(x,y,t)=I(x+\Delta x,y+\Delta y,t+\Delta t)}$

  Assuming the movement to be small, the image constraint at ${\displaystyle I(x,y,t)}$ with Taylor series can be developed to get:
  

  ${\displaystyle I(x+\Delta x,y+\Delta y,t+\Delta t)=I(x,y,t)+{\frac {\partial I}{\partial x}}\Delta x+{\frac {\partial I}{\partial y}}\Delta y+{\frac {\partial I}{\partial t}}\Delta t+}$H.O.T.

  From these equations it follows that:
  

  ${\displaystyle {\frac {\partial I}{\partial x}}\Delta x+{\frac {\partial I}{\partial y}}\Delta y+{\frac {\partial I}{\partial t}}\Delta t=0}$

  or
  

  ${\displaystyle {\frac {\partial I}{\partial x}}{\frac {\Delta x}{\Delta t}}+{\frac {\partial I}{\partial y}}{\frac {\Delta y}{\Delta t}}+{\frac {\partial I}{\partial t}}{\frac {\Delta t}{\Delta t}}=0}$

  which results in
  

  ${\displaystyle {\frac {\partial I}{\partial x}}V_{x}+{\frac {\partial I}{\partial y}}V_{y}+{\frac {\partial I}{\partial t}}=0}$

  where ${\displaystyle V_{x},V_{y}}$ are the ${\displaystyle x}$ and ${\displaystyle y}$ components of the velocity or optical flow of ${\displaystyle I(x,y,t)}$ and ${\displaystyle {\tfrac {\partial I}{\partial x}}}$, ${\displaystyle {\tfrac {\partial I}{\partial y}}}$ and ${\displaystyle {\tfrac {\partial I}{\partial t}}}$ are the derivatives of the image at ${\displaystyle (x,y,t)}$ in the corresponding directions. ${\displaystyle I_{x}}$,${\displaystyle I_{y}}$ and ${\displaystyle I_{t}}$ can be written for the derivatives in the following.
  Thus:
  

  ${\displaystyle I_{x}V_{x}+I_{y}V_{y}=-I_{t}}$

  or
  

  ${\displaystyle \nabla I^{T}\cdot {\vec {V}}=-I_{t}}$

  This is an equation in two unknowns and cannot be solved as such. This is known as the aperture problem of the optical flow algorithms. To find the optical flow another set of equations is needed, given by some additional constraint. All optical flow methods introduce additional conditions for estimating the actual flow.
  

  Methods for determination

  • Phase correlation – inverse of normalized cross-power spectrum
  • Block-based methods – minimizing sum of squared differences or sum of absolute differences, or maximizing normalized cross-correlation
  • Differential methods of estimating optical flow, based on partial derivatives of the image signal and/or the sought flow field and higher-order partial derivatives, such as:
    • Lucas–Kanade method – regarding image patches and an affine model for the flow field
    • Horn–Schunck method – optimizing a functional based on residuals from the brightness constancy constraint, and a particular regularization term expressing the expected smoothness of the flow field
    • Buxton–Buxton method – based on a model of the motion of edges in image sequences
    • Black–Jepson method – coarse optical flow via correlation
    • General variational methods – a range of modifications/extensions of Horn–Schunck, using other data terms and other smoothness terms.
  • Discrete optimization methods – the search space is quantized, and then image matching is addressed through label assignment at every pixel, such that the corresponding deformation minimizes the distance between the source and the target image. The optimal solution is often recovered through Max-flow min-cut theorem algorithms, linear programming or belief propagation methods.

  Many of these, in addition to the current state-of-the-art algorithms are evaluated on the Middlebury Benchmark Dataset.
  

  Uses

  Motion estimation and video compression have developed as a major aspect of optical flow research. While the optical flow field is superficially similar to a dense motion field derived from the techniques of motion estimation, optical flow is the study of not only the determination of the optical flow field itself, but also of its use in estimating the three-dimensional nature and structure of the scene, as well as the 3D motion of objects and the observer relative to the scene, most of them using the Image Jacobian.
  Optical flow was used by robotics researchers in many areas such as: object detection and tracking, image dominant plane extraction, movement detection, robot navigation and visual odometry. Optical flow information has been recognized as being useful for controlling micro air vehicles.
  The application of optical flow includes the problem of inferring not only the motion of the observer and objects in the scene, but also the structure of objects and the environment. Since awareness of motion and the generation of mental maps of the structure of our environment are critical components of animal (and human) vision, the conversion of this innate ability to a computer capability is similarly crucial in the field of machine vision.
  
  

   

  The optical flow vector of a moving object in a video sequence.

  Consider a five-frame clip of a ball moving from the bottom left of a field of vision, to the top right. Motion estimation techniques can determine that on a two dimensional plane the ball is moving up and to the right and vectors describing this motion can be extracted from the sequence of frames. For the purposes of video compression (e.g., MPEG), the sequence is now described as well as it needs to be. However, in the field of machine vision, the question of whether the ball is moving to the right or if the observer is moving to the left is unknowable yet critical information. Not even if a static, patterned background were present in the five frames, could we confidently state that the ball was moving to the right, because the pattern might have an infinite distance to the observer.
  

  Optical flow sensor

  
  

  An optical flow sensor is a vision sensor capable of measuring optical flow or visual motion and outputting a measurement based on optical flow. Various configurations of optical flow sensors exist. One configuration is an image sensor chip connected to a processor programmed to run an optical flow algorithm. Another configuration uses a vision chip, which is an integrated circuit having both the image sensor and the processor on the same die, allowing for a compact implementation. An example of this is a generic optical mouse sensor used in an optical mouse. In some cases the processing circuitry may be implemented using analog or mixed-signal circuits to enable fast optical flow computation using minimal current consumption.
  One area of contemporary research is the use of neuromorphic engineering techniques to implement circuits that respond to optical flow, and thus may be appropriate for use in an optical flow sensor. Such circuits may draw inspiration from biological neural circuitry that similarly responds to optical flow.
  Optical flow sensors are used extensively in computer optical mice, as the main sensing component for measuring the motion of the mouse across a surface. as the main sensing component for measuring the motion of the mouse across a surface.
  Optical flow sensors are also being used in robo applications, primarily where there is a need to measure visual motion or relative motion between the robo and other objects in the vicinity of the robo. The use of optical flow sensors in unmanned aerial vehicles (UAVs), for stability and obstacle avoidance, is also an area of current research.

    

  Hub to Hub Electronics

  

  Surface-mount electronic components

  Electronics is the science of controlling electrical energy electrically, in which the electrons have a fundamental role. Electronics deals with electrical circuits that involve active electrical components such as vacuum tubes, transistors, diodes, integrated circuits, associated passive electrical components, and interconnection technologies. Commonly, electronic devices contain circuitry consisting primarily or exclusively of active semiconductors supplemented with passive elements; such a circuit is described as an electronic circuit.
  The science of electronics is also considered to be a branch of physics and electrical engineering.
  The nonlinear behaviour of active components and their ability to control electron flows makes amplification of weak signals possible, and electronics is widely used in information processing, telecommunication, and signal processing. The ability of electronic devices to act as switches makes digital information processing possible. Interconnection technologies such as circuit boards, electronics packaging technology, and other varied forms of communication infrastructure complete circuit functionality and transform the mixed components into a regular working system.
  Electronics is distinct from electrical and electro-mechanical science and technology, which deal with the generation, distribution, switching, storage, and conversion of electrical energy to and from other energy forms using wires, motors, generators, batteries, switches, relays, transformers, resistors, and other passive components. This distinction started around 1906 with the invention by Lee De Forest of the triode, which made electrical amplification of weak radio signals and audio signals possible with a non-mechanical device. Until 1950 this field was called "radio technology" because its principal application was the design and theory of radio transmitters, receivers, and vacuum tubes.
  Today, most electronic devices use semiconductor components to perform electron control. The study of semiconductor devices and related technology is considered a branch of solid-state physics, whereas the design and construction of electronic circuits to solve practical problems come under electronics engineering. This article focuses on engineering aspects of electronics.
  
  

  Digital electronics

  Digital electronics

  

  A digital signal has two or more distinguishable waveforms, in this example, high voltage and low voltages, each of which can be mapped onto a digit.

  

  An industrial digital controller

  Digital electronics or digital (electronic) circuits are electronics that handle digital signals (discrete bands of analog levels) rather than by continuous ranges as used in analog electronics. All levels within a band of values represent the same information state. Because of this discretization, relatively small changes to the analog signal levels due to manufacturing tolerance, signal attenuation or noise do not leave the discrete envelope, and as a result are ignored by signal state sensing circuitry.
  In most cases, the number of these states is two, and they are represented by two voltage bands: one near a reference value (typically termed as "ground" or zero volts), and the other a value near the supply voltage. These correspond to the false and true values of the Boolean domain respectively. Digital techniques are useful because it is easier to get an electronic device to switch into one of a number of known states than to accurately reproduce a continuous range of values.
  Digital electronic circuits are usually made from large assemblies of logic gates, simple electronic representations of Boolean logic functions.
  
  

  Properties

  An advantage of digital circuits when compared to analog circuits is that signals represented digitally can be transmitted without degradation due to noise.^[8] For example, a continuous audio signal transmitted as a sequence of 1s and 0s, can be reconstructed without error, provided the noise picked up in transmission is not enough to prevent identification of the 1s and 0s. An hour of music can be stored on a compact disc using about 6 billion binary digits.
  In a digital system, a more precise representation of a signal can be obtained by using more binary digits to represent it. While this requires more digital circuits to process the signals, each digit is handled by the same kind of hardware, resulting in an easily scalable system. In an analog system, additional resolution requires fundamental improvements in the linearity and noise characteristics of each step of the signal chain.
  Computer-controlled digital systems can be controlled by software, allowing new functions to be added without changing hardware. Often this can be done outside of the factory by updating the product's software. So, the product's design errors can be corrected after the product is in a customer's hands.
  Information storage can be easier in digital systems than in analog ones. The noise-immunity of digital systems permits data to be stored and retrieved without degradation. In an analog system, noise from aging and wear degrade the information stored. In a digital system, as long as the total noise is below a certain level, the information can be recovered perfectly.
  Even when more significant noise is present, the use of redundancy permits the recovery of the original data provided too many errors do not occur.
  In some cases, digital circuits use more energy than analog circuits to accomplish the same tasks, thus producing more heat which increases the complexity of the circuits such as the inclusion of heat sinks. In portable or battery-powered systems this can limit use of digital systems.
  For example, battery-powered cellular telephones often use a low-power analog front-end to amplify and tune in the radio signals from the base station. However, a base station has grid power and can use power-hungry, but very flexible software radios. Such base stations can be easily reprogrammed to process the signals used in new cellular standards.
  Digital circuits are sometimes more expensive, especially in small quantities.
  Most useful digital systems must translate from continuous analog signals to discrete digital signals. This causes quantization errors. Quantization error can be reduced if the system stores enough digital data to represent the signal to the desired degree of fidelity. The Nyquist-Shannon sampling theorem provides an important guideline as to how much digital data is needed to accurately portray a given analog signal.
  In some systems, if a single piece of digital data is lost or misinterpreted, the meaning of large blocks of related data can completely change. Because of the cliff effect, it can be difficult for users to tell if a particular system is right on the edge of failure, or if it can tolerate much more noise before failing.
  Digital fragility can be reduced by designing a digital system for robustness. For example, a parity bit or other error management method can be inserted into the signal path. These schemes help the system detect errors, and then either correct the errors, or at least ask for a new copy of the data. In a state-machine, the state transition logic can be designed to catch unused states and trigger a reset sequence or other error recovery routine.
  Digital memory and transmission systems can use techniques such as error detection and correction to use additional data to correct any errors in transmission and storage.
  On the other hand, some techniques used in digital systems make those systems more vulnerable to single-bit errors. These techniques are acceptable when the underlying bits are reliable enough that such errors are highly unlikely.
  A single-bit error in audio data stored directly as linear pulse code modulation (such as on a CD-ROM) causes, at worst, a single click. Instead, many people use audio compression to save storage space and download time, even though a single-bit error may corrupt the entire song.
  

  Construction

  

  A binary clock, hand-wired on breadboards

  A digital circuit is typically constructed from small electronic circuits called logic gates that can be used to create combinational logic. Each logic gate is designed to perform a function of boolean logic when acting on logic signals. A logic gate is generally created from one or more electrically controlled switches, usually transistors but thermionic valves have seen historic use. The output of a logic gate can, in turn, control or feed into more logic gates.
  Integrated circuits consist of multiple transistors on one silicon chip, and are the least expensive way to make large number of interconnected logic gates. Integrated circuits are usually designed by engineers using electronic design automation software (see below for more information) to perform some type of function.
  Integrated circuits are usually interconnected on a printed circuit board which is a board which holds electrical components, and connects them together with copper traces.
  

  Design

  Each logic symbol is represented by a different shape. The actual set of shapes was introduced in 1984 under IEEE/ANSI standard 91-1984. "The logic symbol given under this standard are being increasingly used now and have even started appearing in the literature published by manufacturers of digital integrated circuits."
  Another form of digital circuit is constructed from lookup tables, (many sold as "programmable logic devices", though other kinds of PLDs exist). Lookup tables can perform the same functions as machines based on logic gates, but can be easily reprogrammed without changing the wiring. This means that a designer can often repair design errors without changing the arrangement of wires. Therefore, in small volume products, programmable logic devices are often the preferred solution. They are usually designed by engineers using electronic design automation software.
  When the volumes are medium to large, and the logic can be slow, or involves complex algorithms or sequences, often a small microcontroller is programmed to make an embedded system. These are usually programmed by software engineers.
  When only one digital circuit is needed, and its design is totally customized, as for a factory production line controller, the conventional solution is a programmable logic controller, or PLC. These are usually programmed by electricians, using ladder logic.
  

  Structure of digital systems

  Engineers use many methods to minimize logic functions, in order to reduce the circuit's complexity. When the complexity is less, the circuit also has fewer errors and less electronics, and is therefore less expensive.
  The most widely used simplification is a minimization algorithm like the Espresso heuristic logic minimizer within a CAD system, although historically, binary decision diagrams, an automated Quine–McCluskey algorithm, truth tables, Karnaugh maps, and Boolean algebra have been used.
  

  Representation

  Representations are crucial to an engineer's design of digital circuits. Some analysis methods only work with particular representations.
  The classical way to represent a digital circuit is with an equivalent set of logic gates. Another way, often with the least electronics, is to construct an equivalent system of electronic switches (usually transistors). One of the easiest ways is to simply have a memory containing a truth table. The inputs are fed into the address of the memory, and the data outputs of the memory become the outputs.
  For automated analysis, these representations have digital file formats that can be processed by computer programs. Most digital engineers are very careful to select computer programs ("tools") with compatible file formats.
  

  Combinational vs. Sequential

  To choose representations, engineers consider types of digital systems. Most digital systems divide into "combinational systems" and "sequential systems." A combinational system always presents the same output when given the same inputs. It is basically a representation of a set of logic functions, as already discussed.
  A sequential system is a combinational system with some of the outputs fed back as inputs. This makes the digital machine perform a "sequence" of operations. The simplest sequential system is probably a flip flop, a mechanism that represents a binary digit or "bit".
  Sequential systems are often designed as state machines. In this way, engineers can design a system's gross behavior, and even test it in a simulation, without considering all the details of the logic functions.
  Sequential systems divide into two further subcategories. "Synchronous" sequential systems change state all at once, when a "clock" signal changes state. "Asynchronous" sequential systems propagate changes whenever inputs change. Synchronous sequential systems are made of well-characterized asynchronous circuits such as flip-flops, that change only when the clock changes, and which have carefully designed timing margins.
  

  Synchronous systems

  

  A 4-bit ring counter using D-type flip flops is an example of synchronous logic. Each device is connected to the clock signal, and update together.

   synchronous logic

  The usual way to implement a synchronous sequential state machine is to divide it into a piece of combinational logic and a set of flip flops called a "state register." Each time a clock signal ticks, the state register captures the feedback generated from the previous state of the combinational logic, and feeds it back as an unchanging input to the combinational part of the state machine. The fastest rate of the clock is set by the most time-consuming logic calculation in the combinational logic.
  The state register is just a representation of a binary number. If the states in the state machine are numbered (easy to arrange), the logic function is some combinational logic that produces the number of the next state.
  

  Asynchronous systems

  As of 2014, most digital logic is synchronous because it is easier to create and verify a synchronous design. However, asynchronous logic is thought can be superior because its speed is not constrained by an arbitrary clock; instead, it runs at the maximum speed of its logic gates. Building an asynchronous system using faster parts makes the circuit faster.
  Nevertherless, most systems need circuits that allow external unsynchronized signals to enter synchronous logic circuits. These are inherently asynchronous in their design and must be analyzed as such. Examples of widely used asynchronous circuits include synchronizer flip-flops, switch debouncers and arbiters.
  Asynchronous logic components can be hard to design because all possible states, in all possible timings must be considered. The usual method is to construct a table of the minimum and maximum time that each such state can exist, and then adjust the circuit to minimize the number of such states. Then the designer must force the circuit to periodically wait for all of its parts to enter a compatible state (this is called "self-resynchronization"). Without such careful design, it is easy to accidentally produce asynchronous logic that is "unstable," that is, real electronics will have unpredictable results because of the cumulative delays caused by small variations in the values of the electronic components.
  

  Register transfer systems

  

  Example of a simple circuit with a toggling output. The inverter forms the combinational logic in this circuit, and the register holds the state.

  Many digital systems are data flow machines. These are usually designed using synchronous register transfer logic, using hardware description languages such as VHDL or Verilog.
  In register transfer logic, binary numbers are stored in groups of flip flops called registers. The outputs of each register are a bundle of wires called a "bus" that carries that number to other calculations. A calculation is simply a piece of combinational logic. Each calculation also has an output bus, and these may be connected to the inputs of several registers. Sometimes a register will have a multiplexer on its input, so that it can store a number from any one of several buses. Alternatively, the outputs of several items may be connected to a bus through buffers that can turn off the output of all of the devices except one. A sequential state machine controls when each register accepts new data from its input.
  Asynchronous register-transfer systems (such as computers) have a general solution. In the 1980s, some researchers discovered that almost all synchronous register-transfer machines could be converted to asynchronous designs by using first-in-first-out synchronization logic. In this scheme, the digital machine is characterized as a set of data flows. In each step of the flow, an asynchronous "synchronization circuit" determines when the outputs of that step are valid, and presents a signal that says, "grab the data" to the stages that use that stage's inputs. It turns out that just a few relatively simple synchronization circuits are needed.
  

  Computer design

  

  Intel 80486DX2 microprocessor

  The most general-purpose register-transfer logic machine is a computer. This is basically an automatic binary abacus. The control unit of a computer is usually designed as a microprogram run by a microsequencer. A microprogram is much like a player-piano roll. Each table entry or "word" of the microprogram commands the state of every bit that controls the computer. The sequencer then counts, and the count addresses the memory or combinational logic machine that contains the microprogram. The bits from the microprogram control the arithmetic logic unit, memory and other parts of the computer, including the microsequencer itself. A "specialized computer" is usually a conventional computer with special-purpose control logic or microprogram.
  In this way, the complex task of designing the controls of a computer is reduced to a simpler task of programming a collection of much simpler logic machines.
  Almost all computers are synchronous. However, true asynchronous computers have also been designed. One example is the Aspida DLX core. Another was offered by ARM Holdings. Speed advantages have not materialized, because modern computer designs already run at the speed of their slowest component, usually memory. These do use somewhat less power because a clock distribution network is not needed. An unexpected advantage is that asynchronous computers do not produce spectrally-pure radio noise, so they are used in some mobile-phone base-station controllers. They may be more secure in cryptographic applications because their electrical and radio emissions can be more difficult to decode.
  

  Computer architecture

  Computer architecture is a specialized engineering activity that tries to arrange the registers, calculation logic, buses and other parts of the computer in the best way for some purpose. Computer architects have applied large amounts of ingenuity to computer design to reduce the cost and increase the speed and immunity to programming errors of computers. An increasingly common goal is to reduce the power used in a battery-powered computer system, such as a cell-phone. Many computer architects serve an extended apprenticeship as microprogrammers.
  

  Design issues in digital circuits

  Digital circuits are made from analog components. The design must assure that the analog nature of the components doesn't dominate the desired digital behavior. Digital systems must manage noise and timing margins, parasitic inductances and capacitances, and filter power connections.
  Bad designs have intermittent problems such as "glitches", vanishingly fast pulses that may trigger some logic but not others, "runt pulses" that do not reach valid "threshold" voltages, or unexpected ("undecoded") combinations of logic states.
  Additionally, where clocked digital systems interface to analog systems or systems that are driven from a different clock, the digital system can be subject to metastability where a change to the input violates the set-up time for a digital input latch. This situation will self-resolve, but will take a random time, and while it persists can result in invalid signals being propagated within the digital system for a short time.
  Since digital circuits are made from analog components, digital circuits calculate more slowly than low-precision analog circuits that use a similar amount of space and power. However, the digital circuit will calculate more repeatably, because of its high noise immunity. On the other hand, in the high-precision domain (for example, where 14 or more bits of precision are needed), analog circuits require much more power and area than digital equivalents.
  

  Automated design tools

  To save costly engineering effort, much of the effort of designing large logic machines has been automated. The computer programs are called "electronic design automation tools" or just "EDA."
  Simple truth table-style descriptions of logic are often optimized with EDA that automatically produces reduced systems of logic gates or smaller lookup tables that still produce the desired outputs. The most common example of this kind of software is the Espresso heuristic logic minimizer.
  Most practical algorithms for optimizing large logic systems use algebraic manipulations or binary decision diagrams, and there are promising experiments with genetic algorithms and annealing optimizations.
  To automate costly engineering processes, some EDA can take state tables that describe state machines and automatically produce a truth table or a function table for the combinational logic of a state machine. The state table is a piece of text that lists each state, together with the conditions controlling the transitions between them and the belonging output signals.
  It is common for the function tables of such computer-generated state-machines to be optimized with logic-minimization software such as Minilog.
  Often, real logic systems are designed as a series of sub-projects, which are combined using a "tool flow." The tool flow is usually a "script," a simplified computer language that can invoke the software design tools in the right order.
  Tool flows for large logic systems such as microprocessors can be thousands of commands long, and combine the work of hundreds of engineers.
  Writing and debugging tool flows is an established engineering specialty in companies that produce digital designs. The tool flow usually terminates in a detailed computer file or set of files that describe how to physically construct the logic. Often it consists of instructions to draw the transistors and wires on an integrated circuit or a printed circuit board.
  Parts of tool flows are "debugged" by verifying the outputs of simulated logic against expected inputs. The test tools take computer files with sets of inputs and outputs, and highlight discrepancies between the simulated behavior and the expected behavior.
  Once the input data is believed correct, the design itself must still be verified for correctness. Some tool flows verify designs by first producing a design, and then scanning the design to produce compatible input data for the tool flow. If the scanned data matches the input data, then the tool flow has probably not introduced errors.
  The functional verification data are usually called "test vectors". The functional test vectors may be preserved and used in the factory to test that newly constructed logic works correctly. However, functional test patterns don't discover common fabrication faults. Production tests are often designed by software tools called "test pattern generators". These generate test vectors by examining the structure of the logic and systematically generating tests for particular faults. This way the fault coverage can closely approach 100%, provided the design is properly made testable (see next section).
  Once a design exists, and is verified and testable, it often needs to be processed to be manufacturable as well. Modern integrated circuits have features smaller than the wavelength of the light used to expose the photoresist. Manufacturability software adds interference patterns to the exposure masks to eliminate open-circuits, and enhance the masks' contrast.
  

  Design for testability

  There are several reasons for testing a logic circuit. When the circuit is first developed, it is necessary to verify that the design circuit meets the required functional and timing specifications. When multiple copies of a correctly designed circuit are being manufactured, it is essential to test each copy to ensure that the manufacturing process has not introduced any flaws.
  A large logic machine (say, with more than a hundred logical variables) can have an astronomical number of possible states. Obviously, in the factory, testing every state is impractical if testing each state takes a microsecond, and there are more states than the number of microseconds since the universe began. Unfortunately, this ridiculous-sounding case is typical.
  Fortunately, large logic machines are almost always designed as assemblies of smaller logic machines. To save time, the smaller sub-machines are isolated by permanently installed "design for test" circuitry, and are tested independently.
  One common test scheme known as "scan design" moves test bits serially (one after another) from external test equipment through one or more serial shift registers known as "scan chains". Serial scans have only one or two wires to carry the data, and minimize the physical size and expense of the infrequently used test logic.
  After all the test data bits are in place, the design is reconfigured to be in "normal mode" and one or more clock pulses are applied, to test for faults (e.g. stuck-at low or stuck-at high) and capture the test result into flip-flops and/or latches in the scan shift register(s). Finally, the result of the test is shifted out to the block boundary and compared against the predicted "good machine" result.
  In a board-test environment, serial to parallel testing has been formalized with a standard called "JTAG" (named after the "Joint Test Action Group" that proposed it).
  Another common testing scheme provides a test mode that forces some part of the logic machine to enter a "test cycle." The test cycle usually exercises large independent parts of the machine.
  

  Trade-offs

  Several numbers determine the practicality of a system of digital logic: cost, reliability, fanout and speed. Engineers explored numerous electronic devices to get an ideal combination of these traits.
  

  Cost

  The cost of a logic gate is crucial, primarily because very many gates are needed to build a computer or other advanced digital system and because the more gates can be used, the more capable and/or fast the machine can be. Since the majority of a digital computer is simply an interconnected network of logic gates, the overall cost of building a computer correlates strongly with the price per logic gate. In the 1930s, the earliest digital logic systems were constructed from telephone relays because these were inexpensive and relatively reliable. After that, engineers always used the cheapest available electronic switches that could still fulfill the requirements.
  The earliest integrated circuits were a happy accident. They were constructed not to save money, but to save weight, and permit the Apollo Guidance Computer to control an inertial guidance system for a spacecraft. The first integrated circuit logic gates cost nearly $50 (in 1960 dollars, when an engineer earned $10,000/year). To everyone's surprise, by the time the circuits were mass-produced, they had become the least-expensive method of constructing digital logic. Improvements in this technology have driven all subsequent improvements in cost.
  With the rise of integrated circuits, reducing the absolute number of chips used represented another way to save costs. The goal of a designer is not just to make the simplest circuit, but to keep the component count down. Sometimes this results in more complicated designs with respect to the underlying digital logic but nevertheless reduces the number of components, board size, and even power consumption. A major motive for reducing component count on printed circuit boards is to reduce the manufacturing defect rate and increase reliability, as every soldered connection is a potentially bad one, so the defect and failure rates tend to increase along with the total number of component pins.
  For example, in some logic families, NAND gates are the simplest digital gate to build. All other logical operations can be implemented by NAND gates. If a circuit already required a single NAND gate, and a single chip normally carried four NAND gates, then the remaining gates could be used to implement other logical operations like logical and. This could eliminate the need for a separate chip containing those different types of gates.
  

  Reliability

  The "reliability" of a logic gate describes its mean time between failure (MTBF). Digital machines often have millions of logic gates. Also, most digital machines are "optimized" to reduce their cost. The result is that often, the failure of a single logic gate will cause a digital machine to stop working. It is possible to design machines to be more reliable by using redundant logic which will not malfunction as a result of the failure of any single gate (or even any two, three, or four gates), but this necessarily entails using more components, which raises the financial cost and also usually increases the weight of the machine and may increase the power it consumes.
  Digital machines first became useful when the MTBF for a switch got above a few hundred hours. Even so, many of these machines had complex, well-rehearsed repair procedures, and would be nonfunctional for hours because a tube burned-out, or a moth got stuck in a relay. Modern transistorized integrated circuit logic gates have MTBFs greater than 82 billion hours (8.2 · 10¹⁰ hours), and need them because they have so many logic gates.
  

  Fanout

  Fanout describes how many logic inputs can be controlled by a single logic output without exceeding the electrical current ratings of the gate outputs. The minimum practical fanout is about five. Modern electronic logic gates using CMOS transistors for switches have fanouts near fifty, and can sometimes go much higher.
  

  Speed

  The "switching speed" describes how many times per second an inverter (an electronic representation of a "logical not" function) can change from true to false and back. Faster logic can accomplish more operations in less time. Digital logic first became useful when switching speeds got above 50 Hz, because that was faster than a team of humans operating mechanical calculators. Modern electronic digital logic routinely switches at 5 GHz (5 · 10⁹ Hz), and some laboratory systems switch at more than 1 THz (1 · 10¹² Hz).
  

  Logic families

  Main article: logic family

  Design started with relays. Relay logic was relatively inexpensive and reliable, but slow. Occasionally a mechanical failure would occur. Fanouts were typically about 10, limited by the resistance of the coils and arcing on the contacts from high voltages.
  Later, vacuum tubes were used. These were very fast, but generated heat, and were unreliable because the filaments would burn out. Fanouts were typically 5...7, limited by the heating from the tubes' current. In the 1950s, special "computer tubes" were developed with filaments that omitted volatile elements like silicon. These ran for hundreds of thousands of hours.
  The first semiconductor logic family was resistor–transistor logic. This was a thousand times more reliable than tubes, ran cooler, and used less power, but had a very low fan-in of 3. Diode–transistor logic improved the fanout up to about 7, and reduced the power. Some DTL designs used two power-supplies with alternating layers of NPN and PNP transistors to increase the fanout.
  Transistor–transistor logic (TTL) was a great improvement over these. In early devices, fanout improved to 10, and later variations reliably achieved 20. TTL was also fast, with some variations achieving switching times as low as 20 ns. TTL is still used in some designs.
  Emitter coupled logic is very fast but uses a lot of power. It was extensively used for high-performance computers made up of many medium-scale components (such as the Illiac IV).
  By far, the most common digital integrated circuits built today use CMOS logic, which is fast, offers high circuit density and low-power per gate. This is used even in large, fast computers, such as the IBM System z.
  

  Recent developments

  In 2009, researchers discovered that memristors can implement a boolean state storage (similar to a flip flop, implication and logical inversion), providing a complete logic family with very small amounts of space and power, using familiar CMOS semiconductor processes.
  The discovery of superconductivity has enabled the development of rapid single flux quantum (RSFQ) circuit technology, which uses Josephson junctions instead of transistors. Most recently, attempts are being made to construct purely optical computing systems capable of processing digital information using nonlinear optical elements.

    

concept mechanical control (analog) and digital control system and then Mechatronics concept in ELECTRICAL, PROCESS CONTROL, MOTOR CONTROL, ELECTRONIC, MECHANIC, ROBO PLCs, COMPUTER SCIENCE AMNIMARJESLOW AL DO FOUR DO AL ONE LJBUSAF thankyume orbit

                                     ANALOG AND DIGITAL CONTROL SYSTEM



the concept of analog and digital is no difference, the analog system works there is a process and a period of a long process and is determined by the natural conditions that affect the object of the work, while the digital concept of how it works fast can be considered like the back your hand so the process is very fast out by sensor sensor that of the human senses, so that man can not see the process and how it works from the objects carried in the digital workflow. as illustrated in the Bible is like the Lord Jesus reverses and showed his palms in order to Thomas  Thomas believe that He is the Lord Jesus so digital concepts very quickly and well .

In the analog control system, consisting of controllers and devices of analog circuits, linear amplifiers. Control systems are initially analog systems because only analog electronics technology available at the time. In the analog control system, changes in set-point or feedback signals sensed directly, then organize and customize output amplifier (into the actuator).
In the digital control system, the controller uses a digital circuit. In many cases, the digital circuit in question is a computer, usually based on a microprocessor or micro controller (micro-controller). The computer will run the program repeatedly (every iteration called iterations or scan). Program instructing a computer to take the set-point value and the measured data of the sensor and then use these figures to calculate the output controller (which is then sent to the actuator). The program will then start again from the beginning and do the same process. One work cycle for this process takes place in less than 1/1000 sec. Digital systems only take on the state of input at certain intervals in the scanning process and provide the latest output then. If you change the input after the scan process, then this change is not detected until the next scan process. This phenomenon is fundamental that distinguish it from analogue control system that continuously respond to any input changes that occur. But for most of the digital control system, the scan time is very short (<1/1000 sec) compared to the response time to a process that is controlled so that for all practical purposes, feedback controllers seem to occur quickly and immediately.
Neighborhoods is "analog world" in this case of natural events that occur usually occurs in a continuous pattern from one state to the next. Thus, most of the control system to control the processes that are analogous. This means that in many cases, digital control system initially had to change the analog input data into digital form before it can be used. The same applies also to the output section, where digital controllers should change the digital output signal into an analog form. Figure  shows a block diagram of a closed loop digital control system. Note that there are two additional blocks of the block digital-to-analog converter (D A C) and analog block-to-digital converter (ADC).




                                      Block diagram of digital closed-loop control system.  



                         

Sample Application: A pump control which displays liters per minute with an alarm to warn operator of low or stopped flow  

Note also that the feedback signal (feedback) from the sensor (after passing ADC) sent directly to the controller (computer), in contrast to analog systems, where the feedback signal is supplied to a comparator to compare it with the set-point value. This means that the digital computer system directly serves as a comparator between the set-point value with the value of the feedback signal.

  CLASSIFICATION SYSTEM-CONTROL SYSTEM
The classification of the control system can also be done in other ways, namely through the kinds of applications.
process control

Process control refers to a control system used to monitor a series of industrial processes with the aim that can be implemented with a uniform, so as to produce the right product.  


                       

A block diagram of a negative feedback control system. Illustrates the concept of using a feedback loop to control the behavior of a system by comparing its output to a desired value, and applying the difference as an error signal to dynamically change the output so it is closer to the desired output .


                                                                                           X  .  I 
                                                        Basic Concepts of Digital Control Systems  

In the digital control system, as the (controller) used a computer, microprocessor, micro controller or other logic circuits to process the dynamics of the system. In terms of form signals that work within the system, can we distinguish that on an analog system, the input signal, the signal is processed by the controller and the output signal is in the form of analog signals. While the digital system, the input signal is also generally in the form of analog signals, while signals that are processed by the controller is a digital signal, and the output signal is also generally in the form of analog signals. 

Of the difference signal that work on an analog system and a digital system, the digital system need components that function to perform the conversion of the signal, a converter is known as the ADC (Analog to Digital Converter) and  D A C (Digital to Analog Converter). The difference between analog systems and digital systems are shown in the following.


Differences Analog And Digital Control Systems 

                 

The digital signal obtained through ADC that serves to make the process of sampling (sampling) of the analog signal to produce a discrete signal, then each discrete signals do quantization and so is converted to a digital signal.

Generally, a control (plant) works with analog signals, therefore the digital signal as the output of the controller should be converted back to an analog signal through the D A C. In mathematical operations, each functional block at the top is necessary to find mathematical models. In an analog system the Laplace transforms are used, whereas in digital system used is the transformation of Z. In this book only the transformation of Z which will be given.

Completion of the problems in the field of control would involve such things as:

Selection of a sensor to measure the feedback signal.
Selection of the actuator to move controling .
Developed a mathematical model of control , sensors and actuators
Designing controllers based on the model in point 3 and the criteria of the system.
To evaluate the design through analysis, simulation and test hardware.
Conducting the process of iteration to point 1 s / d 5 to obtain the desired system response.
The above process can be illustrated in the following figure

                                      

sistem fisik  = Physical of system
model matematik sistem  = mathematic model of system
solusi matematika = Mathematical solution



                                                                     X  .  II
                                                      Analogy Control System


                        

cairan , operator , indikator , klep   =    fluids, operator, indicators, valve

Eye operator detect any movement of the water level through the scale that has been marked beforehand. eye said as sensor operators.
The signals from the eye (sensor) to the brain, which will determine their deviation. The brain can be regarded as Controller (Controller).
Muscle Arm (Arm of the input valve) and hand (actuators, actuator) rotating valve, called the Device Controller (Controlled Device).

Been directed to maintain the condition of the water in the tank through a valve input to be at the level between 1 and 2. Level the surface of the water in these conditions is referred to as Controlled Conditions (Controlled Condition).

Controlled conditions or the Regional Control can be achieved by controlling the flow of water through the pipe valve input. The current flow of water (flow rate) is known as Variable Manipulation (Manipulated Variable), and a valve input is referred to as Control Devices (Controlled Device).

Water is referred to as Agent Control (Control Agent).

Controlling the flow of water into the tank, the water level will change. Changes in the water level in the tank known as Variable Control (Controlled Variable).

While the water in the tank known as Controlled Media (Controlled Medium).

The water level is maintained cultivated that can be seen on a visual indicator called as like as Set  point (Set Point or Set Value).

The water level is maintained at the point between the 1 and 2 are seen on visual indicators and control parameters are still allowed to be slightly above the bottom of the tank and do not overflow. Values ​​in this area is referred to as a desired value (Desired Value).

It is assumed that the level of treated strictly in order to be at a point between 1 and 2. The water level stands at steady state (Steady State), known as Value Control (Control Value) or Real Value (Actual Value).

But in reality the level will be between 1 and 2, but still works well. The difference between the Set point and referred to as the Real Value Deviation (Deviation) or error.

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                                        Grouping control system based on application 

I. Process Control

Control refers to the process control system that oversees some industrial processes so that a uniform and correct output can be maintained. Process control can do this by monitoring and adjusting the control parameters (such as temperature and flow rate) to ensure product output remains as it should be. Examples of process control is closed loop system that maintains a predetermined temperature of the electric oven . 

                    

In this case, the actuator is a heating element, controlled variable is the temperature, and the sensor is a thermo couple (a device that converts temperature into voltage). The controller controls the power to the heating element such that maintaining the temperature (as reported by a thermo couple) at the value set by reference.

Process control are classified as:

continuous process

batch process

Continuous processes in the flow of materials or products that continually, while the batch process has a beginning and the end point (which is usually done repeatedly).

II . The sequential control system

Sequentially controlled system [sequentially controlled system] control process that is defined as a set of functions that must be implemented in other words, a series of operations, one by one. Each operation in the row implemented, either for a given period, in this case called driven-time [time-driven], or until the task is complete (as indicated by, for example, a switch divider [limit switch]), in this case called event-driven [event-driven]. Row

driven-time is an open loop since no feedback, while event-driven tasks that are close loop for feedback signal is required to establish when the task is completed. 

                             

Examples of the system being controlled sequence is fully automatic washing machine.

The first step in the washing cycle is filling the washing tube. It is a task-driven event because the water is allowed to enter up to achieve true high-surface. The next two tasks, rinse [wash] and turn-dry [spin-drain], each carried out over a certain period and the steps that are driven time.

III . The motion control

Electro mechanical motion control system is an open loop and closed loop control in which objects undergo displacement. Such systems typically include motors, mechanical parts are moving, and (in many cases) sensors feedback.

Various motion control:

a. Servo-mechanism [servomechanism]

Servo-mechanism [servomechanism] is the term traditionally used to describe electro mechanical control system closed-loop directing a careful displacement of a physical object such as a radar antenna or a robotic arm. Typically, could-be-controlled output position or velocity output (or both). An example of a servo-mechanism is positioning systems for radar antenna, as shown in Figure 

                                            

b. Numerical control [Numerical Control or NC]

These machines can automatically cut and form-work objects without a human operator. Each engine has a set of axes [axis] and its own parameters that must be controlled; as an example, consider forging machine shown in Fig. object - work [work piece] that is being formed is attached to the table to move. The table can be moved (using electric motors) in three directions: X, Y, and Z. The rate-cutting tools also automatically controlled. To make a piece, the table moving objects passing through the gear-cutting work [cutting

tool] on the speed and depth of cuts that have been set. In this example, four parameters (X, Y, Z, and rpm) continuously and independently controlled by the controller. As an input controller receives a series of numbers which are more fully described how the part should be made. These numbers include measures of physical and details such as rate cuts and the pace of bribes [feed]. 

                                    

c.  Robo  

                                                   

Robo ( Ringing on Boat ) industry is a classic example of a position control system. In most cases, the robot has a single arm with joints of the shoulder, elbow, and wrist, as well as a kind of hand called the end effector . 

                               

six-axis industrial robo ( ringing on boat )  are controlled independently-known as having six degrees of freedom [degree of freedom] . 

                       

                       

                            

                                                                       Timer digital  

                                  

                                                                 Timer mechanic  

                   

                                                                 X  .  IIII

             Some of the benefits of applying control analog and digital is as follows:

1. Increasing flexibility

 The greatest benefit that can be gained from the application of mechatronics is to increase flexibility of the engine by adding new functions that the majority of the contributions of micro-processor. For example, the industrial robot arm can perform this type of work by changing the kinds of software programs in micro-processor as well as a human arm. It yuang be the main factor allowing for the production of diverse type is the amount a little.

2. Increasing Reliability

In conventional machines (manual) appears the problems caused by different types of friction in the mechanism used such as obsolescence, problems touch, vibration and noise. On the use of the machine and the operator is required means that polynomial timbulanya to prevent these problems. By applying the semiconductor switch for example, the problems due to the touch can be minimized thus increasing reliability. In addition, by using machine components as motion control, precision and speed have reached saturation lines that are difficult to be appointed again. By applying digital control and electronics technology, the level of precision machinery and machine motion speed can be raised higher to a certain extent. This limit, for example is a machine rigidity that prevents higher speed because of the advent of vibration. This gave rise to the new challenge is to create a system that has a machine that prevents the engine rigditas higher speeds due to the advent of vibration. This gave rise to a new tatangan namely to create a system of machines that have higher rigidity. Mechatronic structure can be divided into 2 pieces of the world that is the world of mechanics and electronics world. In the world there are mechanisms engine mechanics as a controlled object. In the world of electronics, there are several mechatronic elements, namely: sensors, controllers, actuators pengerak circuit and an energy source.

The mechanism of the machine. It is the object of control can be robor arm, automotive drive mechanism, generators and so forth. Sensor. It is tasked with monitoring the state of the elements of the object are controlled. This sensor is equipped with signal conditioning circuit function to process electrical signals into signals that contain information that can be utilized. Controller. This is the element that takes the decision whether state control of the motorcycle in accordance with the desired reference value, and then process the command infromasi to assign a value to merefisi state of the object of control. Circuit. These are elements that function to receive command signals from the controller and converts it into energy that can move the actuator to execute the command from the controller. These elements are in addition to receiving information from konroler also receive high-energy power supply. Aktutor. This is the element that serves to convert energy from mechanical energy to electrical energy. This actuator concrete forms for example: electric motors, hydraulic tube, tube penematik. And so forth. Energy sources. These are elements that distribute electrical energy to all the elements that membutuhkannnya. One concrete form of energy source is a battery for the system on the move, or AC-DC adapter to the system stasionari (still in place). Mechatronics structure described herein in terms of control theory called feedback system (closed loop). This feedback system resemble living beings, where the activities are always revising its actions based on the feedback information sent by Indar to the brain. Thus mechatronics is to realize the mechanical system is capable of doing the job as well as a manusi who have perfect conditions. Formal boundaries between the various disciplines of engineering (enggineering) maker now increasingly kabaru line with technological developments IC (Integrated Circuit = integrated electronic circuits) and computer. This is especially noticeable in the fields of mechanics and electronics are a growing number of products which is an integration of the two fields, so that it develops a field called mechatronics, which is an expansion of the scope of the field of electromechanical ..

Some of the definitions are taken from a variety of sources including: "Integration of microprocessor control systems, electrical systems and mechanical systems" (Bolton, Mechantronics). The fo synergistic combination of precision mechanical engineering, electronic control and systems thinking in the design of products and manufacturing processes "(Journal of Mechantronics). "The synergistic use of precision engineering, control and process (ME Magazine). "The interdisciplinary field of engineering dealing with the design of products Whose function relies on the synergistic in  

3. Applications Applications Mechantronics

Currently the control of the mechanical system is almost entirely carried out using an electronic control system and most of them use a computer. An example is a car engine. Formerly the flare that occurred in the cylinder is controlled entirely mechanically. Many regulation fuel and air directly from the pedals via cable media by comparison that has been previously tuning . Valves open and closed mechanically regulated using camshaft depending on the position of the piston.

Currently a lot of sensors involved in the combustion system of the car that is in between the speed sensor and crankshaft position, air temperature sensor and fuel, and the sensor on the gas pedal. All the information from these sensors is processed by the control systems in the form of a computer called the Engine Control Unit to be used to set the time and the amount of valve opening and the fuel-air ratio can be adjusted to the rider or machine. In the car there are also many other systems that are currently implementing mechantronic systems, namely automatic transmission systems, active suspension system.