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Proceedings Paper

Color sensor and neural processor on one chip
Author(s): Emile Fiesler; Shannon R. Campbell; Lother Kempem; Tuan A. Duong
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Paper Abstract

Low-cost, compact, and robust color sensor that can operate in real-time under various environmental conditions can benefit many applications, including quality control, chemical sensing, food production, medical diagnostics, energy conservation, monitoring of hazardous waste, and recycling. Unfortunately, existing color sensor are either bulky and expensive or do not provide the required speed and accuracy. In this publication we describe the design of an accurate real-time color classification sensor, together with preprocessing and a subsequent neural network processor integrated on a single complementary metal oxide semiconductor (CMOS) integrated circuit. This one-chip sensor and information processor will be low in cost, robust, and mass-producible using standard commercial CMOS processes. The performance of the chip and the feasibility of its manufacturing is proven through computer simulations based on CMOS hardware parameters. Comparisons with competing methodologies show a significantly higher performance for our device.

Paper Details

Date Published: 13 October 1998
PDF: 8 pages
Proc. SPIE 3455, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation, (13 October 1998); doi: 10.1117/12.326715
Show Author Affiliations
Emile Fiesler, Physical Optics Corp. (United States)
Shannon R. Campbell, Physical Optics Corp. (United States)
Lother Kempem, Physical Optics Corp. (United States)
Tuan A. Duong, Jet Propulsion Lab. (United States)

Published in SPIE Proceedings Vol. 3455:
Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation
Bruno Bosacchi; David B. Fogel; James C. Bezdek, Editor(s)

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