Fire Detection Using OpenCV
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Fire Detection Using OpenCV

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.


Project Screenshots
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Technologies Used
Python OpenCV NumPy Playsound
Key Features
  • Real-time fire detection using a laptop/PC camera.
  • Plays an alarm sound when fire is detected.
  • Displays live camera feed with fire regions highlighted.
  • Simple, fast, and lightweight (no GPU required).
  • Easy to configure and extend for IoT/CCTV integration.
What You Get
Source Code
Project Report
Installation Guide
Requirements
  • Python 3.8+
  • opencv-python
  • VS Code / PyCharm
₹2999.00
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Delivery: Instant Download
Support: 1 Month Free
Updates: Lifetime

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