DocumentCode :
381729
Title :
An intelligent optical fibre based sensor system for monitoring food quality
Author :
O´Farrell, M. ; Lewis, E. ; Flanagan, C. ; Jackman, N.
Author_Institution :
Dept. of Electron. & Comput. Eng., Limerick Univ., Ireland
Volume :
1
fYear :
2002
fDate :
2002
Firstpage :
308
Abstract :
It is evident that colour analysis of food is critical in the sale of pre-cooked foods. Through the use of spectroscopy, in the region of the visible and near infra-red spectrum, it is possible to examine different colours and then analyse them. Combining this with Artificial Neural Networks (ANNs), a pattern recognition system is generated to classify between colours that are favourable and those that are not optimum, in an effort to control the cooking process.
Keywords :
colour; computerised monitoring; condition monitoring; feedforward neural nets; fibre optic sensors; food processing industry; infrared spectroscopy; intelligent sensors; pattern classification; spectroscopy computing; visible spectroscopy; artificial neural networks; colour classification; cooking process control; food colour analysis; food quality monitoring; intelligent optical fibre based sensor system; intelligent ovens; near infra-red spectrum; pattern recognition system; spectroscopy; visible spectrum; Artificial neural networks; Color; Infrared spectra; Intelligent sensors; Marketing and sales; Monitoring; Optical fibers; Pattern recognition; Sensor systems; Spectroscopy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensors, 2002. Proceedings of IEEE
Print_ISBN :
0-7803-7454-1
Type :
conf
DOI :
10.1109/ICSENS.2002.1037105
Filename :
1037105
Link To Document :
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