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Material classification through distance aware multispectral data fusion

  • Safety applications require fast, precise and highly reliable sensors at low costs. This paper presents signal processing methods for an active multispectral optical point sensor instrumentation for which a first technical implementation exists. Due to the very demanding requirements for safeguarding equipment, these processing methods are targeted to run on a small embedded system with a guaranteed reaction time T < 2 ms and a sufficiently low failure rate according to applicable safety standards, e.g., ISO-13849. The proposed data processing concept includes a novel technique for distance-aided fusion of multispectral data in order to compensate for displacement-related alteration of the measured signal. The distance measuring is based on triangulation with precise results even for low-resolution detectors, thus strengthening the practical applicability. Furthermore, standard components, such as support vector machines (SVMs), are used for reliable material classification. All methods have been evaluated for variants of the underlying sensor principle. Therefore, the results of the evaluation are independent of any specific hardware.

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Metadaten
Document Type:Article
Language:English
Author:Oliver Schwaneberg, Uwe Köckemann, Holger Steiner, Sebastian Sporrer, Andreas Kolb, Norbert Jung
Parent Title (English):Measurement science and technology
Volume:24
Issue:4
First Page:045001
ISSN:0957-0233
DOI:https://doi.org/10.1088/0957-0233/24/4/045001
Date of first publication:2013/02/22
Tag:detection; displacement measurement; estimation; optical sensor; optical triangulation; opto-electronic protective device; signal processing algorithm
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