Machine vision systems have been in the industry for a while now, the adoption rate for this technology is observed to be growing rapidly year on year in various end-user industries such as automotive, food and beverage, retail, logistics, medical, and security & surveillance. Automating the process while optimizing time and cost for production with accuracy are the driving forces for increasing adoption rate of machine vision systems in these verticals.
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The global machine vision systems market has been broadly classified into segments such as components, type, end-users and geography. The components segment consist cameras, frame grabbers, illumination, Optics, Processor, and others. Types of machine vision systems include smart camera machine vision systems, embedded vision systems, PC-Based vision systems, and 3D machine vision system. End-user industries are sub segmented into such as automotive, pharmaceuticals, consumer electronics, food and beverage use machine vision systems in different forms such as vision robots or vision systems to control quality and cost of production.
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Machine vision processes can be classified in four steps imaging, processing and analysis, communication and action, and the applications of machine vision systems fall in three broad categories such as process control, quality control, and non-industrial applications such as traffic control, medical etc. The key components of any vision systems will include digital cameras, control unit, illumination systems, and frame grabbers. The camera segment is likely to experience more developments with advancing 3D cameras and is anticipated to set new opportunities for the machine vision market. Software is estimated to be the rapidly growing component during the...