Steel mill defect detection and classification at 3000 ft/min using mainstream technology

Reinhard Rinn; Michael Becker; Ralph Foehr; Friedrich Luecking

doi:10.1117/12.302422

12 March 1998 Steel mill defect detection and classification at 3000 ft/min using mainstream technology

Reinhard Rinn, Michael Becker, Ralph Foehr, Friedrich Luecking

Proceedings Volume 3303, Real-Time Imaging III; (1998) https://doi.org/10.1117/12.302422
Event: Photonics West '98 Electronic Imaging, 1998, San Jose, CA, United States

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.

Citation Download Citation

Reinhard Rinn, Michael Becker, Ralph Foehr, and Friedrich Luecking "Steel mill defect detection and classification at 3000 ft/min using mainstream technology", Proc. SPIE 3303, Real-Time Imaging III, (12 March 1998); https://doi.org/10.1117/12.302422

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