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Video-based Smoke Detection: Possibilities, Techniques, and Challenges

Summary: Video-based Smoke Detection: Possibilities,
Techniques, and Challenges
Ziyou Xiong, Rodrigo Caballero, Hongcheng Wang, Alan M. Finn, Muhidin A. Lelic,
and Pei-Yuan Peng
United Technologies Research Center, East Hartford, CT, 06109
Phone: 860-610-{7156, 7694, 7390, 7737, 7179, 7361}
Email: {xiongz, caballre, wangh1, finnam, lelicma, pengp }@utrc.utc.com
When a fire occurs, minimum detection latency is crucial to minimizing damage and
saving lives. Current smoke sensors inherently suffer from the transport delay of the
smoke from the fire to the sensor. A video smoke detection system would not have this
delay. Further, video is a volume sensor, not a point sensor. A point sensor looks at a
point in space. That point may not be affected by smoke or fire, so the smoke would not
be detected. A volume sensor potentially monitors a larger area and has much higher
probability of successful early detection of smoke or flame.
Video smoke detection is a good option when smoke does not propagate in a "normal"
manner, e.g., in tunnels, mines, and other areas with forced ventilation, and in areas with
air stratification, e.g, hangars, warehouses, etc. Video is also a good option for large,
open areas where there may be no heat or smoke propagation to a fixed point, e.g., saw
mills, petrochemical refineries, forest fires, etc.


Source: Ahuja, Narendra - Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign


Collections: Computer Technologies and Information Sciences; Engineering