18 September 1997 Automated vision-based quality control for electro-optical module manufacturing
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Proceedings Volume 3205, Machine Vision Applications, Architectures, and Systems Integration VI; (1997) https://doi.org/10.1117/12.285583
Event: Intelligent Systems and Advanced Manufacturing, 1997, Pittsburgh, PA, United States
Abstract
The paper describes an inspection system architecture for electro-optical module inspection. The manufacturing of electro-optical modules involves assembly of electronic component and optical component mounts on a printed circuit board. The system consists of a controls layer and a machine vision layer. The controls layer manages seven axis positioning system. The machine vision layer performs automated inspection of the module at component level as well as at joint level. There are three operation modes of the system. Use-friendly graphic interfaces have been developed for system operation. The system can be programmed off-line for positioning information. Once the coordinates for various inspection locations are programmed the system automatically learns fuzzy classification prototypes. The prototypes are then utilized for module inspection. A module scanning algorithm has been developed that can detect and identify electronics or optical missing components. Fuzzy average square weighted Euclidean distance classifier has been used for missing component classification. Results are reported to demonstrate the missing component algorithm.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Iqbal M. Dar, Iqbal M. Dar, } "Automated vision-based quality control for electro-optical module manufacturing", Proc. SPIE 3205, Machine Vision Applications, Architectures, and Systems Integration VI, (18 September 1997); doi: 10.1117/12.285583; https://doi.org/10.1117/12.285583
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