• DocumentCode
    1838046
  • Title

    CNN computational abilities of large infrared proximity arrays

  • Author

    Koller, M. ; Cserey, G.

  • Author_Institution
    Fac. of Inf. Technol., Pazmany Peter Catholic Univ., Budapest, Hungary
  • fYear
    2010
  • fDate
    3-5 Feb. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper we introduce a new hardware-software system, which applies some special modification on the original local connection attributes. The cells of this device has reflective type infrared distance sensors, each cell containing a LED and a phototransistor. The mapped surface can be not only the input of the computational system, but can form the local weights of the connections of adjacent cells. In this way, the locally adapted weightening is accomplished by the reflectance feature, which feature can modify the light of the neighboring cells. It has an important meaning: the physical environment take a part (and probably the control) of the processing. With this method, instead of using "distance image" as an input only, we can achieve more complex processing.
  • Keywords
    cellular neural nets; image processing; infrared detectors; light emitting diodes; phototransistors; sensor arrays; CNN; LED; cellular neural net; hardware software system; infrared distance sensors; infrared proximity array; phototransistor; reflectance feature; Cellular neural networks; Computational modeling; Infrared sensors; Light emitting diodes; Microcontrollers; Optical computing; Phototransistors; Sensor arrays; Sensor phenomena and characterization; Sensor systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Nanoscale Networks and Their Applications (CNNA), 2010 12th International Workshop on
  • Conference_Location
    Berkeley, CA
  • Print_ISBN
    978-1-4244-6679-5
  • Type

    conf

  • DOI
    10.1109/CNNA.2010.5430307
  • Filename
    5430307