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Advances in active near-infrared sensor systems for material classification and skin detection for safety applications

  • This paper presents recent research on an active multispectral scanning sensor capable of classifying an object's surface material in order to distinguish between different kinds of materials and human skin. The sensor itself has already been presented in previous work and can be used in conjunction with safeguarding equipment at manually-fed machines or robot workplaces, for example. This work shows how an extended sensor system with advanced material classifiers can be used to provide additional value by distinguishing different materials of work pieces in order to suggest different tools or parameters for the machine (e.g. the use of a different saw blade or rotation speed at table saws). Additionally, a first implementation and evaluation of an active multispectral camera system addressing new safety applications is described. Both approaches intend to increase the productivity and the user's acceptance of the sensor technology.

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Document Type:Article
Author:Holger Steiner, Oliver Schwaneberg, Norbert Jung
Parent Title (English):Safety Science Monitor
First Page:1
Last Page:9
Publication year:2013
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:2015/04/02