• DocumentCode
    3616290
  • Title

    Automated recognition of foodstuff placed into refrigerator

  • Author

    B. Potocnik;M. Divjak

  • Author_Institution
    Fac. of Eng. & Comput. Sci., Maribor Univ., Slovenia
  • Volume
    1
  • fYear
    2004
  • fDate
    6/26/1905 12:00:00 AM
  • Firstpage
    331
  • 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"
  • Publisher
    ieee
  • Conference_Titel
    Electrotechnical Conference, 2004. MELECON 2004. Proceedings of the 12th IEEE Mediterranean
  • Print_ISBN
    0-7803-8271-4
  • Type

    conf

  • DOI
    10.1109/MELCON.2004.1346861
  • Filename
    1346861
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3616290