Video Surveillance Fire Detection System using CNN Algorithm

Fires in public places such as shopping malls, hospitals, train stations, and others can endanger both people and resources. This has been a big concern for the past few decades. Stopping these accidents should be a priority. So to achieve these, there are various techniques, but there are some loopholes in those techniques. So to overcome those loopholes, we have developed a model that detects fire in images and video frames, and as soon as it detects fire, it sends an alert message to the nearest fire station and related authorities. The main purpose of these models is to prevent accidents due to fire and minimize human work load. This paper uses the CNN algorithm to build these projects