Computer Vision Based Fire Detection with a Video Alert System

Fire is something that burns giving out bright light, heat, and smoke. Fire can be dangerous and disastrous at times causing loss of people and property. In case of such fires, there is a need to detect it at the right time and act immediately. So, we are using computer vision technology to detect fire and send an alert to a remote fire station. This alert is not only sent as an emergency message but also a video is sent along with it, considering the room is under constant surveillance. Through this video, we can know how many people are inside the room and the fire station might send sufficient rescuers based on the video to rescue people. The advantage is that we avoid using flame and smoke sensors that might give false alarms. In case there is a false alarm by using our system, we can verify it by checking the video. In this paper, we propose a fire detection method using OpenCV and Raspberry Pi to detect fire and send an alert as an alarm in the same building and a short video is sent to the remote fire alarm control unit.