FIRE AND SMOKE DETECTION SYSTEM
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Date
2025-02-03
Authors
Mohammad Ammar Jararrah
Amr Adnan Badran
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Abstract
The Fire and Smoke Detection System is an AI-powered solution designed for real-time detection of fire and smoke in video streams. Utilizing a YOLO-based deep learning model, the system processes video feeds from cameras, ensuring high accuracy in identifying potential fire hazards. The system comprises two main components: a Python server, responsible for video analysis and detection, and a .NET MAUI client, which provides users with real-time alerts and live monitoring capabilities. With features such as automatic network discovery, QR code-based remote access, and efficient communication between client and server, the system offers a seamless experience for both local and remote fire detection. This project aims to enhance fire safety by providing an accessible and efficient monitoring tool for homes, businesses, and industrial environments