Design of an LED-based sensor system to distinguish human skin from workpieces in safety applications
- 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.
| Document Type: | Article |
|---|---|
| Language: | English |
| Author: | Oliver Schwaneberg, Holger Steiner, Peter Haring Bolivar, Norbert Jung |
| Parent Title (English): | Appl Opt. (Applied Optics) |
| Volume: | 51 |
| Issue: | 12 |
| First Page: | 1865 |
| Last Page: | 1871 |
| ISSN: | 1559-128X |
| DOI: | https://doi.org/10.1364/AO.51.001865 |
| Pubmed Id: | http://www.ncbi.nlm.nih.gov/pubmed?term=22534890 |
| Publication year: | 2012 |
| 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 |
