This project presents a Fire Detection System using YOLO based on computer vision and deep learning techniques.
The system detects fire in real time using live video captured from a camera, where the YOLO model analyzes each video frame to accurately identify fire and estimate its intensity.
The main goal of this project is to protect open areas such as forests, public parks, home gardens, parking areas, and other locations that do not contain traditional fire sensors.
When a fire is detected, the system automatically activates an alarm and sends SMS and Email alerts that include the fire confidence percentage and detailed fire information, allowing for a fast and effective response.
By providing early fire detection, this system helps reduce damage, protect lives, and prevent fire disasters in open environments.
