Fire Detection using Image Processing

Author:

Prof. Abhishek Nachankar 1,Dhananjay Nishane 1,Yash Jiwarkar 1,Kunal Labhane 1,Kabir Ghadge 1,Rushika Kharat 1

Affiliation:

1. K. D. K College of Engineering, Nagpur, Maharashtra, India

Abstract

To reduce loss of life and property from fire, an early warning is an imperative. A fire detection system based on light detection and analysis is proposed in the paper. This system uses HSV and YCbCr color models with given conditions to separate orange, yellow, and high brightness light from background and ambient light. Fire growth is analysed and calculated based on frame differences. The overall accuracy from the experiments has been greater than 90%.

Publisher

Naksh Solutions

Subject

General Medicine

Reference11 articles.

1. M. Li, W. Xu, K. Xu, J. Fan, and D. Hou, “Review of fire detection technologies based on video image”, JATIT, vol. 49, no. 2, pp. 700-707, Mar. 2013.

2. W. Wenhao, Z. Hong, “Fire detection based on flame color and area”, 2012 IEEE Int. Conf. on Computer Science and Automation Engineering, pp. 222-226, 2012.

3. C. Juan, H. Yaping, W. Jian, “Multi-feature fusion based fast video flame detection”, Building and Environment, vol. 45, pp. 1113-1122, 2010.

4. T. Celik, and H. Demirel, “Fire detection in video sequences using a generic color model”, Fire Safety J, 2008, doi:10.1016/j.firesaf.2008.05.005

5. Z. Junying, and D. Xiaoxiao, “Image recognition technology in fire detection”, Fire Science and Technology, vol. 26, no. 4, pp. 417-420, 2007.

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