• DocumentCode
    2534304
  • Title

    CNN technology in action

  • Author

    Zarándy, Ákos ; Espejo, Servando ; Foldesy, Péter Földesy ; Kék, Lászlo ; Linán, Gusztávo ; Rekeczky, Csaba ; Rodriguez-Vazquez, Angel ; Roska, Tamás ; Szatmári, István ; Szirányi, Tamás ; Szolgay, Péter

  • Author_Institution
    Comput. & Autom. Inst., Hungarian Acad. of Sci., Budapest, Hungary
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    79
  • Lastpage
    81
  • Abstract
    Two Cellular Neural Net Universal Machine (CNN-UM) prototypes are demonstrated in action. The first one is the latest 4096 cell-processor, analog I/O, analogic CNN visual microprocessor, on which online video image processing will be performed. The second one, the 20×22 binary input-binary output CNN-UM chip is introduced as an ultra high-speed focal plane array processor. In the live demonstration it captures and classifies 10000 frames in a second
  • Keywords
    analogue integrated circuits; cellular neural nets; online operation; video signal processing; CNN-UM; Cellular Neural Net Universal Machine; online video image processing; ultra high-speed focal plane array processor; visual microprocessor; Cellular networks; Cellular neural networks; Condition monitoring; Engines; Image processing; Laboratories; Logic; Microelectronics; Microprocessors; Prototypes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Neural Networks and Their Applications, 2000. (CNNA 2000). Proceedings of the 2000 6th IEEE International Workshop on
  • Conference_Location
    Catania
  • Print_ISBN
    0-7803-6344-2
  • Type

    conf

  • DOI
    10.1109/CNNA.2000.876824
  • Filename
    876824