A distributed industrial application for quality control of clinched boards based on computer vision

Authors:
Ivan Bruno;Andrea Giotti;Massimo Monsignori;Paolo Nesi
Affiliations:
University of Florence, Via S. Marta, 3, 50139 Florence, Italy;University of Florence, Via S. Marta, 3, 50139 Florence, Italy;SED, Via Umbria 27, Certaldo (Florence), Italy;University of Florence, Via S. Marta, 3--50139, Florence, Italy
Venue:
SEKE '02 Proceedings of the 14th international conference on Software engineering and knowledge engineering
Year:
2002

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Abstract

In the last years, a system for joining metal sheets by using a cold press joining technique has been invented and called clinching. This technique has been adopted in the production of metal boards for civil construction. The quality of joint points is a critical aspect and the current approach for quality control is based on the capabilities of an expert to understand the nature of the defect by observing the shape of each clinched button. VISICON IST Research and Development project proposes a solution for realizing a distributed quality control system for the production of clinched metal boards. The solution integrates aspects of software engineering, process modeling, knowledge representation and computer vision.