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Proceedings Paper

Development of a distributed vision system for industrial conditions
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Paper Abstract

This paper presents a prototype system to monitor a hot glowing wire during the rolling process in quality relevant aspects. Therefore a measurement system based on image vision and a communication framework integrating distributed measurement nodes is introduced. As a technologically approach, machine vision is used to evaluate the wire quality parameters. Therefore an image processing algorithm, based on dual Grassmannian coordinates fitting parallel lines by singular value decomposition, is formulated. Furthermore a communication framework which implements anonymous tuplespace communication, a private network based on TCP/IP and a consequent Java implementation of all used components is presented. Additionally, industrial requirements such as realtime communication to IEC-61131 conform digital IO’s (Modbus TCP/IP protocol), the implementation of a watchdog pattern and the integration of multiple operating systems (LINUX, QNX and WINDOWS) are lined out. The deployment of such a framework to the real world problem statement of the wire rolling mill is presented.

Paper Details

Date Published: 1 May 2003
PDF: 12 pages
Proc. SPIE 5132, Sixth International Conference on Quality Control by Artificial Vision, (1 May 2003); doi: 10.1117/12.514944
Show Author Affiliations
Michael Weiss, Univ. of Leoben (Austria)
Arnulf Schiller, Univ. of Leoben (Austria)
Paul O'Leary, Univ. of Leoben (Austria)
Ewald Fauster, Univ. of Leoben (Austria)
Peter Schalk, Univ. of Leoben (Austria)

Published in SPIE Proceedings Vol. 5132:
Sixth International Conference on Quality Control by Artificial Vision
Kenneth W. Tobin; Fabrice Meriaudeau, Editor(s)

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