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Proceedings Paper

Change detection for human safety in robotic environments
Author(s): Ahmad Abdallah; Cina Motamed; Alain Schmitt
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Paper Abstract

The motion of industrial robots generates various risks for equipment and personnel within the workroom. This contribution shows how an automatic visual surveillance system could be used to prevent collisions between industrial robots and operators. We propose a real time system that is able to detect an intruder in a dangerous area, even when there are disturbing illumination changes in the considered shopfloor. The analysis of the sign of the derived image seems very robust. The research has been validated on a site with an industrial robot.

Paper Details

Date Published: 21 September 1994
PDF: 5 pages
Proc. SPIE 2298, Applications of Digital Image Processing XVII, (21 September 1994); doi: 10.1117/12.186547
Show Author Affiliations
Ahmad Abdallah, Ecole des Mines de Douai and Univ. de Technologie de Compiegne (France)
Cina Motamed, Univ. du Littoral (France)
Alain Schmitt, Ecole des Mines de Douai (France)

Published in SPIE Proceedings Vol. 2298:
Applications of Digital Image Processing XVII
Andrew G. Tescher, Editor(s)

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