Hazard recognition system based on violation of the integrity of the field and changes in the intensity of illumination on the video image

Globally, the number of tragic events caused by fires is increasing, causing damage to people’s lives and properties. As the false alarm rate of conventional fire detection systems is sometimes too high, there is a growing demand for automatic detection system using computer vision technology to reduce the damage caused by fire disaster. But it is difficult to use in real time due to false detections caused by different situations. In the field of fire detection, an algorithm using multiple temporal and spatial information of the object is proposed to solve this problem. Color, luminance and motion data are used to generate the appropriate fire detection algorithm. In this article, in the development of a hazard detection system based on field integrity violations and light intensity changes in the video image, we have presented the methods of motion detection, color detection, and detection of field integrity violations.