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 colour of each cooking stage 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 [1] by further examining the internal colour of the food and testing the repeatability of the system. Spectroscopic techniques are employed to determine the colour and this signal is interrogated using an Artificial Neural Network.
Original language | English |
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Pages (from-to) | 313-316 |
Number of pages | 4 |
Journal | Proceedings of SPIE - The International Society for Optical Engineering |
Volume | 5502 |
DOIs | |
Publication status | Published - 2004 |
Event | Second European Workshop on Optical Fibre Sensors, EWOFS'04 - Santander, Spain Duration: 9 Jun 2004 → 11 Jun 2004 |
Keywords
- Artificial Neural Network
- Back Propagation Learning
- Colour Classification
- Feed Forward Networks
- Food Processing Industry
- Optical Fibre Sensor
- Pattern Recognition
- Process Control
- Spectroscopy