Special Section on Quality Control by Artificial Vision

Framework for automatic quality control in industrial environments using distributed image processing

[+] Author Affiliations
Peter Schalk, Ewald Fauster

University of Leoben, Institute for Automation, 8700?Leoben, Austria

Paul O’Leary, Michael Weiss

University of Leoben, Christian Doppler Laboratory for Sensor and Measurement Systems, 8700?Leoben, Austria

J. Electron. Imaging. 13(3), 504-514 (Jul 01, 2004). doi:10.1117/1.1762519
History: Received Aug. 15, 2003; Accepted Feb. 23, 2004; Online July 29, 2004
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A framework integrating distributed vision nodes within a transmission control protocol/Internet protocol (TCP/IP) based, anonymous communication environment is introduced. The main system capabilities are central configurability and maintainability of the image processing nodes and the scalability of the framework. Furthermore a watchdog concept and IEC61131 conform signal integration comprising the Modbus/TCP protocol are integrated within the framework. A communication structure based on the tuplespace concept is presented. The possibility of integrating heterogeneous nodes is achieved by a consistent Java™ implementation. As a proof of concept, a quality observation task at distributed observation points at a wire rolling mill is introduced. An image-processing algorithm based on least-squares fitting of parallel lines to observe quality relevant parameters is introduced and integrated as an exemplary machine vision implementation within the framework. © 2004 SPIE and IS&T.

© 2004 SPIE and IS&T

Citation

Peter Schalk ; Ewald Fauster ; Paul O’Leary and Michael Weiss
"Framework for automatic quality control in industrial environments using distributed image processing", J. Electron. Imaging. 13(3), 504-514 (Jul 01, 2004). ; http://dx.doi.org/10.1117/1.1762519


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