A self-learning machine vision system

Michael Kelley

doi:10.1117/12.518547

4 March 2004 A self-learning machine vision system

Michael Kelley

Proceedings Volume 5263, Intelligent Manufacturing; (2004) https://doi.org/10.1117/12.518547
Event: Photonics Technologies for Robotics, Automation, and Manufacturing, 2003, Providence, RI, United States

Abstract

Reliable and productive manufacturing operations have depended on people to quickly detect and solve problems whenever they appear. Over the last 20 years, more and more manufacturing operations have embraced machine vision systems to increase productivity, reliability and cost-effectiveness, including reducing the number of human operators required. Because of these two key factors, increased technical complexity and an fewer resources, the people who continue to work in the factory are finding it ever more difficult to deal with issues that involve the production line's sophisticated machine vision equipment. An image processing technology is now available that enables a system to match an operator’s subjectivity. A hardware-based implementation of a neural network system enables a vision system to "think" and "inspect" like a human, with the speed and reliability of a machine.

Citation Download Citation

Michael Kelley "A self-learning machine vision system", Proc. SPIE 5263, Intelligent Manufacturing, (4 March 2004); https://doi.org/10.1117/12.518547

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