DocumentCode :
595696
Title :
An intelligent reflective colour sensor system for paper and textile industries
Author :
Anupama, P. ; Kumar, K.V.S. ; Valsalam, S.R. ; Harikrishnan, G. ; Muralidharan, Vijay
Author_Institution :
Control & Instrum. Group, Centre for Dev. of Adv. Comput. (CDAC- T), Thiruvananthapuram, India
fYear :
2012
fDate :
18-21 Dec. 2012
Firstpage :
481
Lastpage :
485
Abstract :
The world is simply less colorful, without the sense of colour. In ordinary life, a difference in colour perception is mostly inconsequential. However, in many industries, the ability to sense colour precisely can be crucial. In this paper, a novel reflective colour sensing system is presented for process monitoring and control applications in paper and textile industries. The system is developed using a solid state RGB sensor and a smart signal processing algorithm implemented on micro-controller architecture. A hybrid neural network comprising Self organizing mapping and Back propagation architecture is used for colour zone classification and exact colour identification of papers. Demonstrator applications and simulation results are discussed to highlight the importance of sensor and accuracy in measurement.
Keywords :
image colour analysis; intelligent sensors; microcontrollers; Self organizing mapping; colour perception; colour zone classification; control applications; demonstrator applications; hybrid neural network; intelligent reflective colour sensor system; ordinary life; paper industries; process monitoring; textile industries; Artificial neural networks; Color; Image color analysis; Neurons; Process control; Sensors; Colour correction matrix; Hybrid Neural Network; Microcontroller; Pattern Classification; RGB sensor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensing Technology (ICST), 2012 Sixth International Conference on
Conference_Location :
Kolkata
ISSN :
2156-8065
Print_ISBN :
978-1-4673-2246-1
Type :
conf
DOI :
10.1109/ICSensT.2012.6461726
Filename :
6461726
Link To Document :
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