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A flexible context-aware assistance system for industrial applications using camera based localization

 
: Imtiaz, Jahanzaib; Koch, Nils; Flatt, Holger; Jasperneite, Jürgen; Voit, Michael; Camp, Florian van de

:
Postprint urn:nbn:de:0011-n-3071772 (1.3 MByte PDF)
MD5 Fingerprint: a66deaaed7d789b71cd7d716709822d8
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Erstellt am: 18.9.2014


Institute of Electrical and Electronics Engineers -IEEE-; IEEE Industrial Electronics Society -IES-:
ETFA 2014, 19th IEEE International Conference on Emerging Technologies and Factory Automation : 16.- 19 September 2014, Barcelona, Spain
Piscataway, NJ: IEEE, 2014
ISBN: 978-1-4799-4846-8
ISBN: 978-1-4799-4845-1
ISBN: 978-1-4799-4844-4
4 S.
International Conference on Emerging Technologies and Factory Automation (ETFA) <19, 2014, Barcelona>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()

Abstract
Within a manufacturing system, a smart humanmachine interface reduces the chances of human error and helps users to make informed decisions, especially in critical situations. This paper presents a concept for a flexible context specific assistance system for industrial applications using camera based localization. As a central element, a modular and service oriented context aware system aggregates relevant data from different sources. An object recognition service applies image analysis techniques on a video stream, captured from a top mounted multi-camera system to detect a person’s location and associate it with a mobile device. A semantically enriched OPC UA server provides access to process data, and a web-service provides connection to a user interface hosted on a tablet PC. A case study provides an application of the proposed solution for the maintenance support and indoor navigation is implemented as a proof of concept.

: http://publica.fraunhofer.de/dokumente/N-307177.html