Automated recognition of foodstuff placed into refrigerator

Automated recognition of foodstuff placed into refrigerator

A low-cost system for automated recognition of foodstuff placed into the refrigerator is presented. Recognition is based on an alternation of temperature signal in the refrigerator interior. The nearest-neighbour classification by using a self-recognizing neural network is applied. The recognition r...

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Bibliographic Details
Published in:Proceedings of the 12th IEEE Mediterranean Electrotechnical Conference (IEEE Cat. No.04CH37521) Vol. 1; pp. 331 - 334 Vol.1
Main Authors: Potocnik, B., Divjak, M.
Format: Conference Proceeding
Language:English
Published: Piscataway NJ IEEE 2004
Subjects:
Applied sciences
Biological neural networks
Computer science
Electrical engineering. Electrical power engineering
Exact sciences and technology
Home appliances
Internet
Miscellaneous
Neural networks
Neurons
Refrigeration
Remote monitoring
Temperature sensors
Various equipment and components
Refrigerator
Household electrical appliances
Self organization
Neural network
Classification
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Description
Summary:A low-cost system for automated recognition of foodstuff placed into the refrigerator is presented. Recognition is based on an alternation of temperature signal in the refrigerator interior. The nearest-neighbour classification by using a self-recognizing neural network is applied. The recognition rate of foodstuff is around 72%.
ISBN:0780382714
9780780382718
DOI:10.1109/MELCON.2004.1346861