DocumentCode :
631895
Title :
Autonomous fire suppression using multispectral sensors
Author :
McNeil, Joshua G. ; Starr, Joseph ; Lattimer, Brian Y.
Author_Institution :
Dept. of Mech. Eng., Virginia Tech, Blacksburg, VA, USA
fYear :
2013
fDate :
9-12 July 2013
Firstpage :
1504
Lastpage :
1509
Abstract :
An autonomous fire suppression system was developed for local fire suppression. The system contains a multispectral sensor suite, including UV sensors and IR stereovision, to detect and target the fire for suppression. Using a deterministic trajectory algorithm, the nozzle angle is adjusted to apply the suppressant onto the base of the fire. The suppression system was used to suppress a wood crib fire.
Keywords :
image sensors; infrared detectors; infrared imaging; sensor fusion; stereo image processing; IR stereovision; autonomous fire suppression; multispectral sensors; nozzle angle; trajectory algorithm; wood crib fire; Cameras; Fires; Image color analysis; Sensor systems; Stereo vision; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Intelligent Mechatronics (AIM), 2013 IEEE/ASME International Conference on
Conference_Location :
Wollongong, NSW
ISSN :
2159-6247
Print_ISBN :
978-1-4673-5319-9
Type :
conf
DOI :
10.1109/AIM.2013.6584308
Filename :
6584308
Link To Document :
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