This project implements a fire detection system using Python and OpenCV. The system captures live video feed from a webcam, analyzes frames, and detects fire based on color and contour analysis. Once fire is detected, it raises an alert by playing an alarm sound, helping in quick response and safety.
The project is lightweight, does not require deep learning models, and works effectively in real-time on low-end systems. It can be extended for CCTV-based fire surveillance or integrated into IoT systems for smart fire monitoring.
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