Image Processing Based Fire Detection System using Rasperry Pi System

International Journal of Computer Science and Engineering
© 2017 by SSRG - IJCSE Journal
Volume 4 Issue 4
Year of Publication : 2017
Authors : R.Dhanujalakshmi, B.Divya, C.Divya@sandhiya, A.Robertsingh

pdf
How to Cite?

R.Dhanujalakshmi, B.Divya, C.Divya@sandhiya, A.Robertsingh, "Image Processing Based Fire Detection System using Rasperry Pi System," SSRG International Journal of Computer Science and Engineering , vol. 4,  no. 4, pp. 18-20, 2017. Crossref, https://doi.org/10.14445/23488387/IJCSE-V4I4P104

Abstract:

Internet of things (IoT) is the network of entities that consists of electronics, programmable software, sensors, and communication facility that enables these entities to gather and transfer data. The objective of the proposed system is to alert the remote user while the fire accidents occur. This system can be installed at any remote premise which has threat of fire accidents. Using this system we can detect the fire by camera. So sensors are not required to detect fire. The Raspberry Pi controller processes the camera input and detects fire using heat signatures. By using image processing method, the report is automatically generated and sends to the person immediately after the fire is detected in any part of the frame using Wi-Fi/GSM. On detecting fire, the system will go into emergency mode. The major advantages in this method are: sending the information to the person at any time, any place and remote monitoring for immediate actions.

Keywords:

Image processing, Internet of Things, Heat signatures, Sensors.

References:

[1] Md Saifudaullah Bin , Rosni Abu ”Development of Fire alarm system”, Published in Electrical, Electronics and system Engineering ICEESE 2013.
[2] C. Shunxia and C. Yanda, “Design Of Wireless Intelligent Home Alarm System”, Industrial Control and Electronics Engineering (ICICEE), 2012.
[3] V. Rakesh, P. Sreesh and S. N. George ,”Improved real-time surveillance system for home security system”, 2012 Annual IEEE India Conference (INDICON).
[4] J. San-Miguel-Ayanz and N. Ravail, “Active fire detection for fire emergency management: Potential and limitations for the operational use of remote sensing,” Natural Hazards , vol. 35,no. 3,pp.361-376,2005.
[5] Raspberry pi –www.raspberrypi.org.
[6] Turgay Celik, Hasan Demirel, Huseyin Ozkaramanli, and Mustafa Uyguroglu, "Fire detection using statistical color model in video sequences," J. Vis. Comun. Image Represent. , vol. 18, pp. 176–185, April 2007.
[7] Turgay Celik , Fast and Efficient Method for Fire Detection Using Image Processing , ETRI Journal , December 2010, pp. 881- 890.