Fire Detection and Recognition Using Video Image

Fire mishaps are a huge menace to the world, from large cities to dense jungles. The deployment of fire detection systems may avert this, but the exorbitant cost, false alarms, the necessity for dedicated infrastructure, and the overall lack of reliability of current hardware and software-based detection systems have served as hurdles. We hope to make progress in detecting fire in videos using Deep learning in this paper. Deep learning is a new idea based on artificial neural networks that have shown to be extremely effective in a variety of applications, including computer vision. We intend to address the drawbacks of current systems by developing an accurate and precise system capable of detecting fires as early as possible and operating in a variety of situations, ultimately saving countless lives and resources. To accomplish high-accuracy fire picture recognition, we suggested a algorithm to detect fire based on the YOLO, which is compatible with fire detection by training using datasets.