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
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.