• DocumentCode
    3629105
  • Title

    Flame detection using PIR sensors

  • Author

    B. Ugur Toreyin;E. Birey Soyer;Onay Urfalioglu;A. Enis Cetin

  • Author_Institution
    Elektrik ve Elektronik M?hendisli?i B?l?m? Bilkent ?niversitesi, Turkey
  • fYear
    2008
  • fDate
    4/1/2008 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, a flame detection system based on a pyroelectric (or passive) infrared (PIR) sensor is described. The flame detection system can be used for fire detection in large rooms. The flame flicker process of an uncontrolled fire and ordinary activity of human beings are modeled using a set of hidden Markov models (HMM), which are trained using the wavelet transform of the PIR sensor signal. Whenever there is an activity within the viewing range of the PIR sensor system, the sensor signal is analyzed in the wavelet domain and the wavelet signals are fed to a set of HMMs. A fire or no fire decision is reached according to the HMM producing the highest probability.
  • Keywords
    "Fires","Sensors","Hidden Markov models","Wavelet transforms","Sensor systems","Speech recognition","Detectors"
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, Communication and Applications Conference, 2008. SIU 2008. IEEE 16th
  • ISSN
    2165-0608
  • Print_ISBN
    978-1-4244-1998-2
  • Type

    conf

  • DOI
    10.1109/SIU.2008.4632660
  • Filename
    4632660
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3629105