• DocumentCode
    2595392
  • Title

    Automated vision system for rapid fire onset detection

  • Author

    Pesatori, Alessandro ; Norgia, Michele ; Svelto, C.

  • Author_Institution
    Dipt. Elettron. e Inf., Politec. di Milano, Milan, Italy
  • fYear
    2009
  • fDate
    5-7 May 2009
  • Firstpage
    163
  • Lastpage
    166
  • Abstract
    In this paper we propose a new automated vision system for rapid fire onset detection. In order to prevent the born of a fire, a system constituted by two firewire cameras and a laptop, that manages images from the cameras and remotely controls a fire extinguisher, was designed and realized. This system is a very promising substitute for common fire sprinkler systems in closed environment.
  • Keywords
    computer vision; fires; flame retardants; image recognition; image sensors; infrared imaging; object detection; automated vision system; fire extinguisher; fire sprinkler system; firewire camera; image analysis; image recognition; infrared imaging; object detection; rapid fire onset detection; Automatic control; Cameras; Control systems; Costs; Fires; Firewire; Infrared detectors; Infrared imaging; Machine vision; Optical filters; Fires; Image analysis; Image recognition; Infrared position measurement; Object detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference, 2009. I2MTC '09. IEEE
  • Conference_Location
    Singapore
  • ISSN
    1091-5281
  • Print_ISBN
    978-1-4244-3352-0
  • Type

    conf

  • DOI
    10.1109/IMTC.2009.5168436
  • Filename
    5168436