Paper
21 March 2000 Configuration assistant for versatile vision-based inspection systems
Olivier Huesser, Heinz Hugli
Author Affiliations +
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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Olivier Huesser and Heinz Hugli "Configuration assistant for versatile vision-based inspection systems", Proc. SPIE 3966, Machine Vision Applications in Industrial Inspection VIII, (21 March 2000); https://doi.org/10.1117/12.380080
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KEYWORDS
Inspection

Optical inspection

Distance measurement

Algorithms

Genetic algorithms

Contamination

Control systems

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