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.
[1]
W. Ritter,et al.
Colour segmentation with polynomial classification
,
1992,
Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol.II. Conference B: Pattern Recognition Methodology and Systems.
[2]
Eric R. Fossum,et al.
Active pixel sensors: are CCDs dinosaurs?
,
1993,
Electronic Imaging.
[3]
Christian Lebiere,et al.
The Cascade-Correlation Learning Architecture
,
1989,
NIPS.
[4]
T. Kanade,et al.
Color information for region segmentation
,
1980
.
[5]
Russell Beale,et al.
Handbook of Neural Computation
,
1996
.
[6]
K.A. Parulski.
Color filters and processing alternatives for one-chip cameras
,
1985,
IEEE Transactions on Electron Devices.
[7]
Santanu Chaudhury,et al.
A connectionist approach for clustering with applications in image analysis
,
1994,
IEEE Trans. Syst. Man Cybern..