FIRE AND SMOKE DETECTION SYSTEM

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dc.contributor.authorMohammad Ammar Jararrah
dc.contributor.authorAmr Adnan Badran
dc.date.accessioned2025-02-05T13:23:51Z
dc.date.available2025-02-05T13:23:51Z
dc.date.issued2025-02-03
dc.description.abstractThe 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
dc.identifier.urihttps://hdl.handle.net/20.500.11888/19894
dc.language.isoen
dc.supervisorDr. Adnan Salman
dc.titleFIRE AND SMOKE DETECTION SYSTEM
dc.typeGraduation Project
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