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NIR Camera Based Person Detection in the Working Range of Industrial Robots

  • Persons entering the working range of industrial robots are exposed to a high risk of collision with moving parts of the system, potentially causing severe injuries. Conventional systems, which restrict the access to this area, range from walls and fences to light barriers and other vision based protective devices (VBPD). None of these systems allow to distinguish between humans and workpieces in a safe and reliable manner. In this work, a new approach is investigated, which uses an active near-infrared (NIR) camera system with advanced capabilities of skin detection to distinguish humans from workpieces based on characteristic spectral signatures. This approach allows to implement more intelligent muting processes and at the same time increases the safety of persons working close to the robots. The conceptual integration of such a camera system into a VBPD and the enhancement of person detection methods through skin detection are described and evaluated in this paper. Based upon this work, next steps could be the development of multimodal sensor systems to safeguard working ranges of collaborating robots using the described camera system.

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Metadaten
Document Type:Conference Object
Language:English
Author:Sebastian Sporrer, Holger Steiner, Maurice Velte, Norbert Jung
Parent Title (English):8th International Conference Safety of Industrial Automated Systems (SIAS 2015). 18-20 November 2015, Königswinter, Germany. Proceedings
First Page:147
Last Page:152
ISBN:978-3-86423-163-6
URL:http://www.dguv.de/ifa/Veranstaltungen/SIAS-2015/
Publisher:Deutsche Gesetzliche Unfallversicherung (DGUV)
Publication year:2015
Tag:NIR; camera-based person detection; industrial robots; near-infrared
Departments, institutes and facilities:Fachbereich Informatik
Institut für Sicherheitsforschung (ISF)
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Entry in this database:2016/04/14