Parsytec HTS-2: defect detection and classification through software vs. dedicated hardware

Reinhard Rinn; Scott A. Thompson; Ralph Foehr; Friedrich Luecking; John Torre

doi:10.1117/12.343795

26 March 1999 Parsytec HTS-2: defect detection and classification through software vs. dedicated hardware

Reinhard Rinn, Scott A. Thompson, Ralph Foehr, Friedrich Luecking, John Torre

Proceedings Volume 3645, Real-Time Imaging IV; (1999) https://doi.org/10.1117/12.343795
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

Abstract

Existing techniques have been limited in terms of throughput and classification capabilities. This paper presents a radically new approach of handling the fastest of steel mill line speeds, while surface imaging is done using standard video cameras and defect analysis is done entirely in software on mass market PCs. This analysis involves the use of consumer electronics technology such as video cameras and multimedia PCs. Advances in multi-media 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, steel surface inspection systems can be built today as software solutions - rather than a configuration of dedicated hardware.

Citation Download Citation

Reinhard Rinn, Scott A. Thompson, Ralph Foehr, Friedrich Luecking, and John Torre "Parsytec HTS-2: defect detection and classification through software vs. dedicated hardware", Proc. SPIE 3645, Real-Time Imaging IV, (26 March 1999); https://doi.org/10.1117/12.343795

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