NDLI: A computer vision based approach for detection of fire and direction control for enhanced operation of fire fighting robot

Content Provider	IEEE Xplore Digital Library
Author	Rangan, M.K. Rakesh, S.M. Sandeep, G.S.P. Suttur, C.S.
Copyright Year	2013
Description	Author affiliation: Electron. & Commun. Dept., M.S. Ramaiah Inst. of Technol., Bangalore, India (Rangan, M.K.; Rakesh, S.M.; Suttur, C.S.) \|\| Electr. Dept., Indian Inst. of Technol. Madras, Chennai, India (Sandeep, G.S.P.)
Abstract	Fire fighting is always a risk involved mission. To facilitate the fire extinguishing operations, autonomous robots are being developed in recent days. In this paper, we propose a fire fighting robot which uses a modular design concept to implement Fire detection, Path directing and Extinguishing operations. The usual trend in the previous implementation is the use of smoke detectors and physical sensors for fire detection as well as depth manipulation. Generally most sensors have low range and are sensitive to environmental changes. In this paper, we propose a computer vision based algorithm for fire detection and for directing the robot towards the detected fire, thereby overcoming the above limitations. Color segmentation is used in initial detection. Correlation is used to extract the non-static property of fire. Temperature sensor and UV-TRON sensor are used to confirm the presence of fire along with depth mapping. Finally, a water sprinkler is used to extinguish the detected fire.
Starting Page	1
Ending Page	6
File Size	4425374
Page Count	6
File Format	PDF
ISBN	9781467361538
DOI	10.1109/CARE.2013.6733740
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-16
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Temperature sensors Correlation coefficient Direction control Correlation Image color analysis Fire detection Fires Xray film Robot sensing systems UV-TRON and Temperature sensor Color segmentation
Content Type	Text
Resource Type	Article

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