LEARNING
A printed circuit board inspection system using artificial neural network
Chingping Han, K. Mazouz, N. Saravanan
- Year
- 2002
- Citations
- 3
Abstract
The network is trained to distinguish between correct and faulty PCB assembly boards. The setup consists of a video camera, a robot, and a machine vision system along with an IBM PC. The backpropagation algorithm is used to train the network.
Keywords
BackpropagationPrinted circuit boardIBMArtificial neural networkComputer scienceArtificial intelligenceComputer visionMachine visionRobotAutomated optical inspection
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