Term 251

Smart Fire & Emergency Guidance System

The Recognition by the Vice President Award

Project Type: Self-Initiated

Project Description

Fire incidents are among the most frequent causes of injury, loss of life, and property damage worldwide. Conventional smoke detectors, though widely available, provide only limited functionality. The Smart AI-Powered Fire Guidance System address these shortcomings through an integrated network of intelligent sensor nodes capable of detecting multiple fire indicators smoke density, gas concentration, temperature and humidity and processing them using on-device algorithms. The system determines the probable fire location, evaluates whether local suppression is safe, and communicates evacuation or mitigation instructions to users through a connected mobile application.


Poster not available


Project Team

Mahmoud Khatiri
Mahmoud Khatiri
Industrial & Systems Engg.
Abdullah Aslan
Abdullah Aslan
Computer Science
Ayman Almutairi
Ayman Almutairi
Applied Chemical Engineering
Mahmoud Alhussen
Mahmoud Alhussen
Computer Science

Team Coach

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DR. Mansour Alharthi
Assistant Professor

Info. & Computer Science Dept.

Department of Information and Computer Science