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Proceedings Paper

Automated vision-based quality control for electro-optical module manufacturing
Author(s): Iqbal M. Dar
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Paper 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.

Paper Details

Date Published: 18 September 1997
PDF: 10 pages
Proc. SPIE 3205, Machine Vision Applications, Architectures, and Systems Integration VI, (18 September 1997); doi: 10.1117/12.285583
Show Author Affiliations
Iqbal M. Dar, Ciena Corp. (United States)


Published in SPIE Proceedings Vol. 3205:
Machine Vision Applications, Architectures, and Systems Integration VI
Susan Snell Solomon; Bruce G. Batchelor; John W. V. Miller, Editor(s)

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