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Reseach Article

FPGA based Fuzzy Optoelectronic Color Sensor System

Published on February 2013 by Nhivekar G.s., Mudholkar R.r.
International Conference on Recent Trends in Information Technology and Computer Science 2012
Foundation of Computer Science USA
ICRTITCS2012 - Number 9
February 2013
Authors: Nhivekar G.s., Mudholkar R.r.
4409b84f-4633-4064-8cec-7e64aecd2d06

Nhivekar G.s., Mudholkar R.r. . FPGA based Fuzzy Optoelectronic Color Sensor System. International Conference on Recent Trends in Information Technology and Computer Science 2012. ICRTITCS2012, 9 (February 2013), 21-24.

@article{
author = { Nhivekar G.s., Mudholkar R.r. },
title = { FPGA based Fuzzy Optoelectronic Color Sensor System },
journal = { International Conference on Recent Trends in Information Technology and Computer Science 2012 },
issue_date = { February 2013 },
volume = { ICRTITCS2012 },
number = { 9 },
month = { February },
year = { 2013 },
issn = 0975-8887,
pages = { 21-24 },
numpages = 4,
url = { /proceedings/icrtitcs2012/number9/10311-1445/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Recent Trends in Information Technology and Computer Science 2012
%A Nhivekar G.s.
%A Mudholkar R.r.
%T FPGA based Fuzzy Optoelectronic Color Sensor System
%J International Conference on Recent Trends in Information Technology and Computer Science 2012
%@ 0975-8887
%V ICRTITCS2012
%N 9
%P 21-24
%D 2013
%I International Journal of Computer Applications
Abstract

This paper describes the designing and implementation of a novel Fuzzy Optoelectronic Color Sensor System. It is based on a Light-Dependent Resistance (LDR) as cheap light sensor and a smart signal processing Fuzzy Logic Algorithm (FLA) implemented on a Field Programmable Gate Array (FPGA). In order to perform suitable and reliable color identification a fuzzy model has been used, which manages the task complexity easily. The system performance has been investigated in terms of failure probability in recognizing color samples and results obtained demonstrated the effectiveness, reliability and robustness of the implemented Fuzzy Logic Algorithm for color sensing.

References
  1. Mark Sippel, "Full Color Sensing, SensorTech", June 15, 2011. Avalabel online at http://sensortech. wordpress. com/2011/06/15/full-color-sensing
  2. Michael Gasperi, Color Sensor, Nuts and Volts magazine, 2002. available online at http://www. philohome. com/sensors/colorsensor. htm
  3. David Cook, "Cadmium-Sulfide Color Sensor", Robotic webpage, 2000, Available online http://www. robotroom. com/ColorSensor. html
  4. John December, "Percent Color Codes", 2010. Available online at http://www. december. com/html/spec/colorcodes. html
  5. Nhivekar G. S. , et al "Implementation of fuzzy logic control algorithm in embedded microcomputers for dedicated application", International Journal of Engineering, Science and Technology, Vol 3,No 4, pp. 276-283, 2011.
  6. Peter Wilson, "Design Recipes for FPGAs - A Simple VGA Interface", EE Times Design, 2008. Avalabel online at http://www. eetimes. com/design/programmable-logic
  7. Altera, "DE2 User Manual", 2006. Available online at http://www. johnloomis. org/altera/DE2/DE2_UserManual. pdf
  8. Tanaka K. , "An Introduction to Fuzzy Logic for Practical Applications", Springer-Verlag, New York, pp 1-119, 1996.
Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy Fpga Color Handel-c Ldr Optoelectronic