FIRE ACCIDENT DETECTION USING DEEP LEARNING









Abstract

From sprawling urbans to dense jungles, fire accidents create a significant threat to the planet. These might be prevented by Deploying fire detection systems, however the prohibitory value, false alarms, would like for dedicated infrastructure, and also the overall lack of strength of the current hardware and software-based detection systems have served as roadblocks during this direction. During this work, we have a tendency to endeavor to create a stride towards detection of fire in videos with the help of Deep learning. Deep learning is rising idea supported artificial neural networks and has achieved exceptional ends up in varied fields as well as computer vision. We have a tendency to arrange to overcome the shortcomings of the current systems and supply correct and precise system to sight fires as early as doable and capable of operating in varied environments thereby saving incalculable lives and resources


Modules


Algorithms


Software And Hardware