Paper
3 May 2004 Complete machine vision solution for tube inspection in nuclear industry
Author Affiliations +
Proceedings Volume 5303, Machine Vision Applications in Industrial Inspection XII; (2004) https://doi.org/10.1117/12.526641
Event: Electronic Imaging 2004, 2004, San Jose, California, United States
Abstract
This paper presents various applications of machine vision systems. These systems are used at four strategic points in a company manufacturing pipes for the nuclear industry. For each system, the vision problematic is presented including the industrial constraints, then, the proposed solution is detailed (acquisition conditions, image processing algorithms...), finally, the implementation on the industrial line is described and results are discussed. The first system used in the R&D department controls tube deformation under high pressure and high temperature conditions. The second vision system deals with the surface inspection of outer part as well as inner part of the tubes for scratches as well as oxidation mark detection. After the lamination, tubes are heated to release the mechanical constraints which took place during the lamination process. During the heating, oxidation may occur. Based on color analysis, a machine vision system was developed to measure the oxidation time. Once manufactured, tubes are thoroughly cleaned by air propulsed plugs and packaged in boxes. A system which detects any missing or occluded tubes was realized. The results show that the nuclear industry can take important benefits from machine vision systems. The four validated and implemented applications give satisfactory results and are currently used in the factory.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ralph Seulin, Yvon Voisin, David Fofi, and Fabrice Meriaudeau "Complete machine vision solution for tube inspection in nuclear industry", Proc. SPIE 5303, Machine Vision Applications in Industrial Inspection XII, (3 May 2004); https://doi.org/10.1117/12.526641
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Cited by 1 scholarly publication.
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KEYWORDS
Machine vision

Inspection

Oxidation

Manufacturing

Control systems

Electronic imaging

Image processing

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