A Neuro-Fuzzy Approach to a Machine Vision-based Parts Inspection Problem
2006-01-0378
04/03/2006
- Event
- Content
- 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.
- Pages
- 9
- 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.