Title :
Automated recognition of foodstuff placed into refrigerator
Author :
B. Potocnik;M. Divjak
Author_Institution :
Fac. of Eng. & Comput. Sci., Maribor Univ., Slovenia
fDate :
6/26/1905 12:00:00 AM
Abstract :
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%.
Keywords :
"Refrigeration","Neurons","Neural networks","Internet","Home appliances","Temperature sensors","Biological neural networks","Computer science","TV","Remote monitoring"
Conference_Titel :
Electrotechnical Conference, 2004. MELECON 2004. Proceedings of the 12th IEEE Mediterranean
Print_ISBN :
0-7803-8271-4
DOI :
10.1109/MELCON.2004.1346861
