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
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;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2009. I2MTC '09. IEEE
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-3352-0
DOI :
10.1109/IMTC.2009.5168436