title: Design of an LED-based sensor system to distinguish human skin from workpieces in safety applications.
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.
authors.affiliation: Department of Computer Science, Bonn-Rhine-Sieg University of Applied Sciences, Sankt Augustin, Germany. Oliver.Schwaneberg@h‐brs.de
authors.forename: Oliver
authors.initials: O
authors.lastname: Schwaneberg
authors.forename: Holger
authors.initials: H
authors.lastname: Steiner
authors.forename: Peter Haring
authors.initials: PH
authors.lastname: Bolívar
authors.forename: Norbert
authors.initials: N
authors.lastname: Jung
mesh_terms: D016477:Artifacts; D003198:Computer Simulation; D004867:Equipment Design; D005121:Extremities / Q000473:pathology*; D005336:Fiber Optic Technology; D006801:Humans; D008027:Light; D016272:Occupational Health; D010969:Plastics; D015203:Reproducibility of Results; D012449:Safety; D012867:Skin / Q000473:pathology*; D014934:Wood
chemical_list: D010969:Plastics