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Machine Vision Camera Market measurements with digital cameras and image processing

According to a new market research report of "Machine Vision Systems & Components Market- By Technology (PC & Smart Camera), Application (Industrial (Automotive, Electronics, Packaging, Medical), Non Industrial (Security, Traffic And Road Safety, Healthcare))-Global Analysis & Forecast (2013-2018)",published by MarketsandMarkets is expected to grow at a CAGR of 8% from 2013 to 2018 and to reach $5 billion by 2018.

Browse 108 market data tables with 12 figures spread through 340 pages and in-depth TOC on Machine Vision Systems & Components Market- By Technology (PC & Smart Camera), Application (Industrial (Automotive, Electronics, Packaging, Medical), Non Industrial (Security, Traffic And Road Safety, Healthcare))-Global Analysis & Forecast (2013-2018).

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Machine vision, also known as "industrial vision" or "vision systems", is primarily focused on computer vision in the perspective of industrial manufacturing processes like defect detection; and in non-manufacturing processes like traffic control and healthcare purposes. The inspection processes are carried by responsive input needed for control, for example robot control or default verification. The system setup majorly consists of cameras capturing, interpreting and signaling individually with a control system related to some pre-determined tolerance or requirement. These systems have increasingly become more powerful while at the same time easy to use. Recent advancements in machine vision technology, such as smart cameras and embedded machine vision systems, have increased the scope of the machine vision market for a wider application in the industrial and non-industrial sectors.

Machine vision technology was first unveiled in the years between 1940 and 1950. Initially it was used to analyze images in military applications for artificial intelligence. Since then, there was a period of rapid growth for the machine vision market. The market was driven by the development of faster microprocessors, improvement in sensor technology, increase in the labor cost, and demand for quality products. The development of an ergonomic machine vision solution and the adoption of digital cameras in machine vision systems resulted in the technology being adopted by many industries thus driving the machine vision system market.

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Like Androids which have come a long way from the three laws of robotics propounded by Isaac Asimov,(i)Machines have started to follow a similar but unique trajectory by evolving from a mere figment of imagination of a febrile mind to a tangible device which executes human work like surveillance, defect detection, code reading and verification, part sorting and identification,non-contact measurementsetc. with far greater precision and accuracy. The aforementioned applications are pebbles and stones while the vast of ocean of machine vision still remains unknown and unexplored, which is the characteristic of any nascent market.

The Machine Vision Systems & Components Market industry is a segment of the larger industry characterized as electronic imaging.(i)Machines are  products associated with the segment of electronic imaging dealing with the use of computers to operate on acquired images.Machine vision techniques are being adopted in other fringe applications, such as biometrics/access control, traffic control, and in the automotive after-market.

Quality is the byword in the manufacturing vertical, be it of the product or process. Through Six Sigma, developed by Motorola, championed by  GE ,companies seeks to improve the quality of process outputs by identifying and removing the causes of defects (errors) and minimizing variability in manufacturing and business processes. By understanding Joseph Juran’s trilogy they understand the cost of poor quality prodcuts. (i)Machines can act as the ideal facilitator in helping companies obtain the holy grail called “QUALITY”. For example they can search for manufacturing defects on flat panel televisions, LCD monitors and all other kinds of displays during the production process. By introducing automated imaging systems in the production process of solar cell manufacturing the benefits we obtain are higher production yields and lower scrap values, and end-users will benefit from higher efficiency, longer life and lower maintenance costs of products and buildings where solar cell panels are an integrated part.

In automotive sector, they are being used for such applications as inspecting for gap and flushness measurements on cars being repaired after crashes, inspecting for wheel alignment, verifying headlight aiming, and verifying color match properties. BMW has developed a technology called NIGHT VISION which ensures more safety at night. BMW Night Vision with Dynamic light spot detects pedestrians in the dark even from a long distance – and selectively illuminates them.

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Motion analysis is another fringe application of machine vision.Motion analysis systems are being deployed for analyzing machinery and robots for accuracy, aswell as humans for prosthesis fitting, rehabilitative purposes, and athletic conditioning such as golf swings and diving.

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