Digital imaging/Applications
From LabAutopedia
Machine Vision
Machine vision (MV System) is the application of computer vision to industry and manufacturing. Whereas computer vision is mainly focused on machine-based image processing, machine vision most often requires also digital input/output devices and computer networks to control other manufacturing equipment such as robotic arms. Machine Vision is a subfield of engineering that encompasses computer science, optics, mechanical engineering, and industrial automation. One of the most common applications of Machine Vision is the inspection of manufactured goods such as semiconductor chips, automobiles, food and pharmaceuticals
Integration challenges depend on whether the vision product is already integrated as a standard product of the robot, or if the use of a general-purpose vision system, supplied by another company other than the robot manufacturer, is to be integrated to the robot. In the latter, using a general-purpose vision system, several significant challenges exist.
Communication (how will the vision system and robot exchange information)
Precision calibration (the matching of the vision image to the robot coordinate systems)
Robot math (making the vision data useful to the robot and using coordinate frames)
These integration concerns can become large engineering tasks that are virtually eliminated if the end user specifies the use of a vision system already designed as a standard product from the robot manufacturer. With true integration, all the issues have been addressed and designed into a complete Intelligent Robot package that lowers cost, reduces risk and provides a more supportable automation solution.
Another challenge to be considered is accuracy. In most applications, a careful investigation of the accuracy requirements needs to be performed. Depending on the requirements and the application approach, often accuracy enhancements products from the robot supplier are recommended, especially in the most demanding of applications.
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