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Proceedings Paper

Design considerations for a metal strip surface inspection system
Author(s): Timo H. Piironen; Pekka Kantola; Pertti Kontio; Eeva Kiuru
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Paper Abstract

As automatic surface inspection systems evolve for metal surfaces, factors affecting defect detection need to be identified and addressed. At Rautaruukki New Technology a system based on a special illumination unit and a CCD-line scan camera has been developed. The Smartvis system uses a novel image compression technique and an adaptive defect detection method in digital image processing. It also features a high performance defect classification method including knowledge extraction techniques and fuzzy set theory based algorithms. The improvement of man-machine interactivity has been one of the major goals in the development. In this paper the factors affecting the decisions made in system design are discussed. Experiences from system applications for steel strip process lines are presented.

Paper Details

Date Published: 10 October 1994
PDF: 8 pages
Proc. SPIE 2353, Intelligent Robots and Computer Vision XIII: Algorithms and Computer Vision, (10 October 1994); doi: 10.1117/12.188913
Show Author Affiliations
Timo H. Piironen, Rautaruukki New Technology (Finland)
Pekka Kantola, Rautaruukki New Technology (Finland)
Pertti Kontio, Rautaruukki New Technology (Finland)
Eeva Kiuru, Rautaruukki New Technology (Finland)

Published in SPIE Proceedings Vol. 2353:
Intelligent Robots and Computer Vision XIII: Algorithms and Computer Vision
David P. Casasent, Editor(s)

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