<title>Change detection for human safety in robotic environments</title>

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.