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Vision-Based Sensor for Early Detection of Periodical Defects in Web Materials
Department of Computer Science, University of Oviedo, Campus de Viesques, Gijón 33204, Spain
* Author to whom correspondence should be addressed.
Received: 21 May 2012; in revised form: 25 July 2012 / Accepted: 25 July 2012 / Published: 6 August 2012
Abstract: During the production of web materials such as plastic, textiles or metal, where there are rolls involved in the production process, periodically generated defects may occur. If one of these rolls has some kind of flaw, it can generate a defect on the material surface each time it completes a full turn. This can cause the generation of a large number of surface defects, greatly degrading the product quality. For this reason, it is necessary to have a system that can detect these situations as soon as possible. This paper presents a vision-based sensor for the early detection of this kind of defects. It can be adapted to be used in the inspection of any web material, even when the input data are very noisy. To assess its performance, the sensor system was used to detect periodical defects in hot steel strips. A total of 36 strips produced in ArcelorMittal Avilés factory were used for this purpose, 18 to determine the optimal configuration of the proposed sensor using a full-factorial experimental design and the other 18 to verify the validity of the results. Next, they were compared with those provided by a commercial system used worldwide, showing a clear improvement.
Keywords: vision sensors; intelligent systems; automated defect detection; pattern recognition
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MDPI and ACS Style
Bulnes, F.G.; Usamentiaga, R.; García, D.F.; Molleda, J. Vision-Based Sensor for Early Detection of Periodical Defects in Web Materials. Sensors 2012, 12, 10788-10809.
Bulnes FG, Usamentiaga R, García DF, Molleda J. Vision-Based Sensor for Early Detection of Periodical Defects in Web Materials. Sensors. 2012; 12(8):10788-10809.
Bulnes, Francisco G.; Usamentiaga, Rubén; García, Daniel F.; Molleda, Julio. 2012. "Vision-Based Sensor for Early Detection of Periodical Defects in Web Materials." Sensors 12, no. 8: 10788-10809.