A final-year Physics student at the Federal University Dutse, Daha Muhammad Albakari, has developed an artificial intelligence-powered system designed to detect and prevent fires at an early stage.
Albakari said the system, called AI FIRE SYSTEM, combines computer vision, embedded AI, Internet of Things technology and environmental sensors to detect fire, smoke and other potential hazards in real time.
He said the system improves on conventional fire alarms, which mainly rely on smoke or heat sensors and can produce false alarms caused by cooking smoke, steam and dust.
“An embedded AI model analyses these inputs to classify fire, smoke or normal conditions and determine the level of risk,” he said.
The system uses an ESP32-CAM to capture images while sensors monitor temperature and gas levels. When a potential hazard is detected, it activates alarms and can send alerts through Wi-Fi or GSM networks.
Albakari said the system could be deployed in homes, schools, hospitals, offices, markets, hotels, warehouses, factories and fuel stations.
He said the use of affordable hardware and locally developed AI technology could make intelligent fire safety more accessible in Nigeria.
The university described the project as a commendable achievement, saying it demonstrated its commitment to research, innovation and academic excellence.
