Fire Detection by using Digital Image Processing Technique

In this paper is to study the detection of flames in a video by using motion and edge detection technique. This is an improved method over all the existing ones. This method detects the edges of the flames properly by removing the noises in the flames. This paper focus is on identifying gray cycle pixels for the detection of flame. Its optimizing technique to detection of the flame, which generated because of smoke and of spreading of fire pixel and the area spread of flame. These systems can be used to reduce false detection fire. The novel system simulate the existing fire detection techniques with above given new techniques of fire detection and give optimized way to detect the fire in terms of less false detection of fire by give the accurate result of fire occurrence. The strength fire detection is the ability to monitor indoor and outdoor applications by using videos. The novel system also gives the opportunity to adjust the system by applying different combination of fire detecting techniques which will help in implementation of system according to different sensitive area requirement.