Deep Learning System For Fire Detection And Alerts Using Yolo

Abstract

This Project Introduces A Real-time Fire Detection And Alert System Based On The YOLO Algorithm, Aiming To Enhance Safety In Various Settings. Designed To Mitigate Fire Hazards Across Diverse Environments, Including Industrial, Residential, And Public Spaces. Leveraging The YOLO Deep Learning Algorithm, The System Accurately Identifies Fire From Live Camera Feeds And Triggers Immediate Responses Through Integrated Hardware. On Detecting Fire, It Activates An Alarm, Captures Evidence, Emails Alerts, And Initiates A Water Pump Via An ESP32 Microcontroller. This AI-powered System Eliminates The Need For Traditional, Maintenance-heavy Sensors And Instead Offers A Scalable, Cost-effective Alternative That Integrates Seamlessly With Existing Surveillance Setups. By Ensuring Rapid Detection And Response, It Enhances Environmental Safety And Operational Efficiency.

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