Title :
Controlling a large-scale industrial oven by monitoring the food quality, both internally and externally, using an optical fibre based system
Author :
Farrell, M.O. ; Lewis, E. ; Flanagan, C. ; Lyons, W.B. ; Kman, N. Jac
Author_Institution :
Limerick Univ., Ireland
Abstract :
An optical fibre based sensor system has been developed for the purpose of examining the colour of food products online as they cook in a large-scale industrial oven. By classifying the measured colours it is possible to automatically determine if the food is cooked to an optimum perceived colour. Developments have been made on previous work by the authors (O´Farrell et al., 2002 and 2003) by further examining the internal colour of the food and also looking at food that does not have an even colour externally. Spectroscopic techniques are employed to determine the colour and this signal is interrogated using an artificial neural network. The resultant output spectral patterns can therefore be quantitatively classified and thus categorized.
Keywords :
colour; fibre optic sensors; food processing industry; neural nets; ovens; pattern classification; spectroscopy; artificial neural network; back propagation learning; colour classification; feed forward networks; food processing industry; food products online; food quality; industrial oven; optical fibre sensor system; pattern recognition; spectroscopic techniques; Control systems; Electrical equipment industry; Food industry; Industrial control; Large-scale systems; Monitoring; Optical control; Optical fibers; Ovens; Sensor systems;
Conference_Titel :
Sensors, 2003. Proceedings of IEEE
Print_ISBN :
0-7803-8133-5
DOI :
10.1109/ICSENS.2003.1278960