CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
Reseach Article

Video based Fire Detection using BFO Algorithm with Moving Camera

by Noor Safaa
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 118 - Number 16
Year of Publication: 2015
Authors: Noor Safaa
10.5120/20829-3488

Noor Safaa . Video based Fire Detection using BFO Algorithm with Moving Camera. International Journal of Computer Applications. 118, 16 ( May 2015), 17-21. DOI=10.5120/20829-3488

@article{ 10.5120/20829-3488,
author = { Noor Safaa },
title = { Video based Fire Detection using BFO Algorithm with Moving Camera },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 118 },
number = { 16 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 17-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume118/number16/20829-3488/ },
doi = { 10.5120/20829-3488 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:01:52.748472+05:30
%A Noor Safaa
%T Video based Fire Detection using BFO Algorithm with Moving Camera
%J International Journal of Computer Applications
%@ 0975-8887
%V 118
%N 16
%P 17-21
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Most of buildings that have the fire detection systems provide limited information from the detectors to fire alarm panels. Therefore, there is a need to improve the quality of the information that is provided for this service. This paper proposed a way to detect the fire immediately by video camera, using a style of Bacterial Foraging Optimization (BFO) technique for controlling the DC motor and image processing. In this paper image processing is used to obtain a suitable data that is introduction to the controller. The registration of all video files that have been captured from the moving camera is then stored in the computer. At the time when a fire is noticed by this system, a fire alarm is given immediately and the location of fire occurrence is shown. Simulink is used in this method for the simulation of fire detection, image processing and the controller.

References
  1. Thou-Ho Chen and Chao-Yu Chen, "An Intelligent Real-Time Fire-Detection for DVR System", Department of Electronic Engineering, China, 2005.
  2. S. Y. Foo, "A fuzzy logic approach to fire detection in aircraft dry bays and engine compartments", IEEE Trans. Industrial Electronics, vol. 47, no. 5, pp. 1161-1171, 2000.
  3. Celik, T. , Demirel, H. , Ozkaramanli, H. , Uyguroglu and M. , "Fire Detection in Video Sequences Using Statistical Color Model", Proc. International Conference on Acoustics, Speech and Signal Processing, Vol. 2, pp. 213-216, May 2006.
  4. Celik, T. , Demirel, H. , Ozkaramanli and H. , "Automatic Fire Detection in Video Sequences", IEEE International Conference, Dept. of Electr. & Electron. Eng. , Eastern Mediterranean Univ. , Turkey, Sep. 2006.
  5. Mr. Sahil Raheja, " An Edge Detection Approach for Flame and Fire Images in Image Processing Using Bacterial Foraging Algorithm ", (IJERT), ISSN: 2278-0181, Vol. 3 Issue 7, July - 2014.
  6. C-C-Ho, "Machine vision-based real time early flame and smoke detection", IEEE International Conference, Meas. Sci. Tech. , China, Vol. 20, pp. 1-13, 2009.
  7. Mathworks, 2009.
  8. Riza Muhida Eklas Hossain, Ahmed Faris and Ahad Ali, "A Vision-Based Sun Tracking System to Increase Performance of Solar Cells", International Conference on Instrumentation, Control and Automation, Indonesia, Oct. 2009.
  9. Chen Li, "Application of Bacterial Foraging Optimization PID Control in VAV System", Shandong Normal University School of Information Science & Engineeringm JiNan China, ICCSEE, 2013.
  10. Turgay Celik, Huseyin Ozkaramanli and Hasan Demirel, "Fire Pixel Classification Using Fuzzy Logic and Statistical Color Model", Department of Electrical and Electronic Engineering, Eastern Mediterranean University, Turkey, 2007.
  11. Fan Feizhi. "the Research and improve of BFO algorithm". North China Electric Power University, master's degree thesis. 2010.
  12. Ahmed H. Abo absa and Mohammed A. Alhanjouri, "PID PARAMETERS OPTIMIZATION USING BACTERIA FORAGING ALGORITHM AND PARTICLE SWARM OPTIMIZATION TECHNIQUES FOR ELECTROHYDRAULIC SERVO CONTROL SYSTEM", The 4th International Engineering Conference Towards engineering of 21st century, 2012.
  13. Dr. Ismail H. Altas, "DC Motor Position Control", Electrical and Electronics Engineering, Karadeniz Technical University, Turkey, 2007.
Index Terms

Computer Science
Information Sciences

Keywords

Image processing BFO DC motor.