Sight is one of the most important sense in human body, the skills are used to observe, distinguish between the objects and analyze them. Machine vision is one of the game changing technology which replace or complement processes or activities that machines in industries handle today such as manual inspections, identification and measurements. Machine vision employee digital cameras and image processing systems to successfully automate the manual processes.
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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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 forecast period.
Increasing need for automated process and quality products in industries has paved path to employee machine vision systems in industrial environments. Rising labor costs and aging population in countries of APAC region such as China, will increase the demand for machine vision systems in a large scale to meet the requirements of the market and as well have competitive edge over other players in the market. Growing demand for application-specific systems in processes will create a huge demand for machine vision across this region. Increasing manufacturing facilities in developing countries will have enough opportunities to explore and implement machine vision systems in near future.
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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.
The global machine vision systems market is further divided on the basis of regions such as North America, Europe, Asia Pacific, South America and Middle East & Africa.
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Top players in machine vision systems include Basler AG, Cognex Corporation, Keyence Corporation, Omron Corporation and National Instruments. OmniVision, DataLogic, and Microscan Systems are among the other important players in this market.
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