Computer vision uses cameras, ADC, and DSP to allow computers to read visual displays. It requires sensitivity to light conditions and resolution, and can use infrared, ultraviolet, and x-ray wavelengths. It is used in industrial, medical, and counterfeit detection applications.
Computer vision tools are a means of identifying what allows a computer to read visual displays. Considered the visual equivalent of speech recognition, computer vision will use one or more cameras and ADC (analog-to-digital conversion) and DSP (digital signal processing) components. Data received through the use of these tools is routed to a controller, allowing the computer to “see” the data.
Computer vision, like many different types of vision systems, takes into account two important aspects of transmitting visual data. First, there’s the issue of sensitivity to light conditions. The tools used to make computer vision must provide the ability to capture data even in low light conditions, as well as detect pulses at invisible wavelengths that are very faint. Second, computer vision tools are about resolution. The acquisition and processing of visual data requires that all objects within the field of view are clearly delineated. Achieving the ideal mix of sensitivity and resolution requires some tweaking from one instance to the next.
Computer vision encompasses the full range of electromagnetic wavelengths visible to the human eye and expands on that range. It is not uncommon for a machine vision system to use infrared, ultraviolet and x-ray wavelengths to achieve the right balance of resolution and sensitivity. The visual data acquisition process can be enhanced by the presence of artificial intelligence to sharpen the depth of objects, as well as by the use of high-resolution cameras to increase the overall quality of the data.
The use of machine vision tools today is common to many types of industrial and medical applications. Computer vision has proven to be very useful when it is necessary to identify counterfeit objects, such as a counterfeit signature or counterfeit currency. Handwriting analysis is another feature that has benefited greatly from advances in computer vision. The textile industry uses computer vision as a means of inspecting the pattern and consistency of the dye on the fabrics and materials it produces. Computer vision has also improved the ability to capture images for use in diagnosing medical problems.
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