A Survey on Early Fire Alarming Using Smoke Detection

Authors(3) :-Megha K S, Meghashree, Shilpa B L

Nowadays, fire accidents can result in disastrous personal injury and destructive damage which causes both economical and ecological damage. This paper presents a survey on smoke detection method for early fire-alarming system based on video processing. The fundamental approach of smoke-pixel judgment is composed of two decision rules. The first one is chromaticity based static decision rule and the second rule is diffusion based dynamic features decision rule. The first rule depends on the grayish color of smoke and dynamic rule is based on the spreading attributes of smoke. Experimental results show that the above two analysis provides lower rate of false alarm. These analyses are used in many of the applications like ships, tunnels and to identify the forest fires.

Authors and Affiliations

Megha K S
Information Science, VVIET,Mysuru,Karnataka, India
Information Science, VVIET,Mysuru,Karnataka, India
Shilpa B L
Computer Science, Assistant Professor,VVIET, Mysuru, Karnataka, India

Smoke detection, Video processing, Feature Extraction

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Publication Details

Published in : Volume 4 | Issue 6 | May-June 2018
Date of Publication : 2018-05-08
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 123-126
Manuscript Number : CSEIT184626
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Megha K S, Meghashree, Shilpa B L, "A Survey on Early Fire Alarming Using Smoke Detection", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 6, pp.123-126, May-June-2018.
Journal URL : http://ijsrcseit.com/CSEIT184626

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