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
Industrial & Systems Engg.
Abdullah Aslan
Computer Science
Ayman Almutairi
Applied Chemical Engineering
Mahmoud Alhussen
Computer ScienceTeam Coach
DR. Mansour Alharthi
Assistant ProfessorInfo. & Computer Science Dept.
Department of Information and Computer Science