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Proceedings Paper

Configuration assistant for versatile vision-based inspection systems
Author(s): Olivier Huesser; Heinz Hugli
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Paper Abstract

Nowadays, vision-based inspection systems are present in many stages of the industrial manufacturing process. Their versatility, which permits to accommodate a broad range of inspection requirements, is however limited by the time consuming system setup performed at each production change. This work aims at providing a configuration assistant that helps to speed up this system setup, considering the peculiarities of industrial vision systems. The pursued principle, which is to maximize the discriminating power of the features involved in the inspection decision, leads to an optimization problem based on a high dimensional objective function. Several objective functions based on various metrics are proposed, their optimization being performed with the help of various search heuristics such as genetic methods and simulated annealing methods. The experimental results obtained with an industrial inspection system are presented, considering the particular case of the visual inspection of markings found on top of molded integrated circuits. These results show the effectiveness of the presented objective functions and search methods, and validate the configuration assistant as well.

Paper Details

Date Published: 21 March 2000
PDF: 11 pages
Proc. SPIE 3966, Machine Vision Applications in Industrial Inspection VIII, (21 March 2000); doi: 10.1117/12.380080
Show Author Affiliations
Olivier Huesser, Univ. de Neuchatel (Switzerland)
Heinz Hugli, Univ. de Neuchatel (Switzerland)

Published in SPIE Proceedings Vol. 3966:
Machine Vision Applications in Industrial Inspection VIII
Kenneth W. Tobin Jr.; John C. Stover, Editor(s)

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