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Proceedings Paper

Application of neural network for fiber-optic color sensor
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Paper Abstract

The paper presents construction of a simple fiber-optic color sensor designed for recognition of objects from a set comprising an a prori defined, limited number of colors. Color sensing is based on diffusive reflectivity of examined surfaces measured in several separate spectral channels. Number and positions of channels depend on predetermined set of colors. The channels are fed by selected LED's sequentially, i.e. in Time-Division Multiple Access mode. Collected serially analogue signals are converted onto digital data enabling some processing variants. In order to extend the performance capability of such a sensor and to enable measurements of others colors, a simple neural network was applied.

Paper Details

Date Published: 22 April 2006
PDF: 6 pages
Proc. SPIE 6189, Optical Sensing II, 61892C (22 April 2006); doi: 10.1117/12.664950
Show Author Affiliations
Marek Sierakowski, Warsaw Univ. of Technology (Poland)
Andrzej W. Domanski, Warsaw Univ. of Technology (Poland)
Piotr Lesiak, Warsaw Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 6189:
Optical Sensing II
Brian Culshaw; Anna G. Mignani; Hartmut Bartelt; Leszek R. Jaroszewicz, Editor(s)

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