Machine Vision Systems as Turnkey Solution for Efficient Manufacturing.

Published By: IndustryARC Published On : 15-Apr-2016

Machine Vision Systems are considered in manufacturing by various industries to improve production and automate the processes. Major applications of these machine vision systems include identification, inspection, and communicate the critical information to eliminate the errors and improve quality of the products which is directly related to the customer satisfaction. These critical errors are monitored instantly and control mechanism is employed to reduce the resources. Machine Vision Systems are much reliable than human interventions due to their speed of inspection and accuracy.

Machine vision systems are also used in non-inspection activities such as robot guidance. The number of industrial robots being used in manufacturing facilities is increasing year-on-year. Advancement in robots such as autonomous robots and automated guided vehicles utilize machine vision systems for navigation inside the facility. These systems come in different types and size, which are also custom made according to the applications. Machine systems are of three types, namely Smart Vision Systems, Embedded Systems and PC Based Systems. Major components used in machine vision systems are camera, frame grabbers, PLC/Controller, Lightings and Optical accessories.

One of the key reasons for increasing adoption rate of machine vision systems in large and medium sized industries is the falling cost of computing power, though the main reason for integrating more machine vision systems in industries lies in realization of industries that machine vision systems being an integral component of manufacturing will add value on a long run, when one considers quality of production, increase productivity, and improved operational safety to be important factors of production. Machine Vision Systems are being used in every major industry such as electronics / semiconductors, automotive, medical, food processing and others. As manufacturing process becomes more complex, there is growing demand for integration of visual inspection systems, going ahead the role of machine vision systems shift from defect detection to defect prevention systems.

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