Real Time Fire Detection System with Image Processing

Main Article Content

Thu Soe Min
Kyaw Zaw Thein Oak
Wai Kit Wong

Abstract

Fire detection by image processing is a growing research in this era. With many methods used to detect fire out there, an accurate method to detect fire without false alarms has not been produced much. This is due to the fact that many methods used RGB colour mode for detection. In this paper, the main focus was on detecting the fire effectively using thermal video from a thermal camera while in the same time will alert the people if fire was detected and also observed the speed of the fire which will benefit enormously to the fire fighters. With this, it was hope that fire can be detected effectively while alerting the people and giving valuable information to the fire fighters to do their job more effectively.

Article Details

Section
Articles

References

X. Yong, Z. Xingjie and X. Binglei, "Method design of small-scale fire detection”, Computational Information Systems, vol. 8, no. 17, pp. 7355–7365, 2012.

S. Rinsurongkawong, M. Ekpanyapong, M. N. Dailey, "Fire Detection for Early Fire Alarm Based on Optical Flow Video Processing”, in the 9th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), pp. 1-4, 2012.

D. Kozeki, "Smoldering Fire Detection by Image-processing”, in AUBE '01,12th International Conference on Automatic on Fire detection, pp. 71-78, 2001.

Rub´en Usamentiaga, Pablo Venegas, Jon Guerediaga, Laura Vega, Julio Molleda and Francisco G. Bulnes, “Infrared Thermography for Temperature Measurement and Non-Destructive Testing”, Sensors, 14, pp.12305-12348, 2014. doi:10.3390/s140712305

T. Çelik, Ö. H. and H. Demiral, "Fire and Smoke Detection Without Sensors: Image Processing Based Approach”, in 15th European Signal Processing Conference (EUSIPCO), pp. 1794-1798, 2007.

W. Phillips III, M. Shah, and N. V. Lobo, “Flame recognition in video”, Pattern Recognition Lett., vol. 23, no.1-3, pp. 319-327, 2002.

T. Chen, P. Wu and Y. Chiou, "An early fire-detection method based on image processing”, in IEEE International Conference on Image Processing (ICIP), pp. 1707-1710, 2004.

M. S. Parkhi and U. Verma, "Fastidious fire smothering," International Conference on Automatic Control and Dynamic Optimization Techniques (ICACDOT), pp. 284-288, 2016. doi: 10.1109/ICACDOT.2016.7877595.

B U Toreyin, Y Dedeoglu, A E Cetin, "Flame detection in video using hidden Markov models", in IEEE International Conference on Image Processing (ICIP), pp. 2457-2460, 2005.

G. Marbach, M. Loepfe and T. Brupbacher, “An Image Processing Technique for Fire Detection in Video Images”, Fire Safety Journal, vol. 41, pp. 285 - 289, 2006.

A. Sheikh, R. N. Mandavgane and D. M. Khatri, "Review on Canny Edge Detection," International Journal of Advanced Information and Communication Technology (IJAICT), vol. 1, no. 9, pp. 744-745, 2015.

J. Lee, H. Tang and J. Park, "Energy Efficient Canny Edge Detector for Advanced Mobile Vision Applications," in IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 4, pp. 1037-1046, 2018. doi: 10.1109/TCSVT.2016.2640038.

W. He and K. Yuan, "An improved canny edge detector and its realization on FPGA," in Proc. IEEE 7th World Congress on Intelligent Control and Automation (WCICA), 2008, pp.6561– 6564.