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A Neuro-Fuzzy Approach to a Machine Vision-based Parts Inspection Problem
Technical Paper
2006-01-0378
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
This paper describes a research project whose objective is to improve the parts inspection component of the automotive manufacturing process through the application of neuro-fuzzy systems. The basic methodology is to circulate case studies of industrial inspection problems among 5 universities and challenge the researchers to find more robust analysis algorithms. This paper presents initial work on one of the case studies whose subject is the application of a machine vision-based system to identify missing fasteners in a cross-car beam.
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Citation
Norman, T., Surgenor, B., Killing, J., Mechefske, C. et al., "A Neuro-Fuzzy Approach to a Machine Vision-based Parts Inspection Problem," SAE Technical Paper 2006-01-0378, 2006, https://doi.org/10.4271/2006-01-0378.Also In
References
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