Fire and Smoke Detection Using Deep Learning

From large urban areas to dense forests, fires and wildfires are a major threat around the world. While the detection system can reduce these hazards, their high cost, low alarms, need for special construction, and overall lack of reliability have hindered mass adoption. This research focuses on manipulating electricity and smoke in images through the power of deep learning. Deep learning using neural networks has been incredibly successful in many fields, including computer vision. Our goal is to solve the limitations of current systems and provide effective and efficient solutions to premature electricity and smog in many areas, ultimately saving countless lives and resources.