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Design of an LED-based sensor system to distinguish human skin from workpieces in safety applications |
Applied Optics, Vol. 51, Issue 12, pp. 1865-1871 (2012)
http://dx.doi.org/10.1364/AO.51.001865
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Abstract
Commercial light curtains use a technique known as muting to differentiate between work pieces and other objects (e.g., human limbs) based on precise model knowledge of the process. At manually fed machinery (e.g., bench saws), such precise models cannot be derived due to the way the machinery is used. This paper presents a multispectral scanning sensor to classify an object’s surface material as a new approach for the problem. The system is meant to detect the presence of limbs and therefore optimized for human skin detection. Evaluation on a test set of skin and (wet) wood samples showed a sufficiently high reliability with respect to safety standards.
© 2012 Optical Society of America
OCIS Codes
(120.0280) Instrumentation, measurement, and metrology : Remote sensing and sensors
(120.1880) Instrumentation, measurement, and metrology : Detection
(120.3940) Instrumentation, measurement, and metrology : Metrology
(120.4570) Instrumentation, measurement, and metrology : Optical design of instruments
(280.4788) Remote sensing and sensors : Optical sensing and sensors
ToC Category:
Instrumentation, Measurement, and Metrology
History
Original Manuscript: September 28, 2011
Revised Manuscript: January 2, 2012
Manuscript Accepted: February 3, 2012
Published: April 11, 2012
Virtual Issues
Vol. 7, Iss. 6 Virtual Journal for Biomedical Optics
Citation
Oliver Schwaneberg, Holger Steiner, Peter Haring Bolívar, and Norbert Jung, "Design of an LED-based sensor system to distinguish human skin from workpieces in safety applications," Appl. Opt. 51, 1865-1871 (2012)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=ao-51-12-1865
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