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Proceedings Paper

Steel mill defect detection and classification at 3000 ft/min using mainstream technology
Author(s): Reinhard Rinn; Michael Becker; Ralph Foehr; Friedrich Luecking
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Paper Abstract

Existing techniques have been limited in terms of throughput and classification capabilities. This paper presents an innovative approach of handling the fastest off line steel mill speeds while surface imaging and defect analysis are done using standard technologies. This involves the use of consumer electronics technology such as CCD-cameras and multimedia PCs. Advances in PC technology, such as MMX, have made it possible to do all image processing in software versus the use of dedicated hardware. Among the topics to be presented are the system architecture made up of arrays of inexpensive cameras and the corresponding processing units. Innovative illumination concepts guarantee outstanding image quality at any line speed. Intelligent pre-processing has been introduced to compensate various environmental effects. Sophisticated defect analysis provides highest quality data for the final classification step. As a result, a 3000 ft./min steel surface inspection system with resolutions of 0.04' is indeed a 100% software solution.

Paper Details

Date Published: 12 March 1998
PDF: 7 pages
Proc. SPIE 3303, Real-Time Imaging III, (12 March 1998); doi: 10.1117/12.302422
Show Author Affiliations
Reinhard Rinn, Parsytec, Inc. (United States)
Michael Becker, Parsytec GmbH (United States)
Ralph Foehr, Parsytec GmbH (Germany)
Friedrich Luecking, Parsytec GmbH (Germany)


Published in SPIE Proceedings Vol. 3303:
Real-Time Imaging III
Divyendu Sinha, Editor(s)

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