Paper
1 May 2003 Framework for industrial visual surface inspections
Author Affiliations +
Proceedings Volume 5132, Sixth International Conference on Quality Control by Artificial Vision; (2003) https://doi.org/10.1117/12.514928
Event: Quality Control by Artificial Vision, 2003, Gatlinburg, TE, United States
Abstract
A key problem in using automatic visual surface inspection in industry is training and tuning the systems to perform in a desired manner. This may take from minutes up to a year after installation, and can be a major cost. Based on our experiences the training issues need to be taken into account from the very beginning of system design. In this presentation we consider approaches for visual surface inspection and system training. We advocate using a non-supervised learning based visual training method.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Olli Silven and Matti Niskanen "Framework for industrial visual surface inspections", Proc. SPIE 5132, Sixth International Conference on Quality Control by Artificial Vision, (1 May 2003); https://doi.org/10.1117/12.514928
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Inspection

Optical inspection

Visualization

Defect detection

Human-machine interfaces

Feature extraction

Electronics

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