Innovations in Wildfire and Smoke Detection: A Comprehensive Survey

The “AI-Based Fire and Smoke Detection System” offers a revolutionary approach to improve emergency response and early hazard identification by utilizing computer vision and artificial intelligence (AI). Traditional fire alarm systems frequently have trouble spotting fires early on, which results in delayed notifications and more damage. This project addresses these problems by utilizing state-of-the-art technologies. The system uses real-time fire and smoke detection and classification from live video streams using the YOLOv5 deep learning model. Various fire conditions, including open flames and smoke clouds, are recognized and monitored in a variety of environments, including forests and buildings. This will speed up response times and reduce total damage by enabling the system to evaluate risk levels in real time from numerous camera feeds and make quick judgments to initiate alarms and safety procedures.