JOEL RUEBEN A/L RAJASEGARAN POLITEKNIK BANTING SELANGOR
This project focuses on the design and development of a vision-based fire detection system for an aircraft cargo compartment trainer kit. A realistic cargo compartment model is constructed to simulate actual aircraft conditions, enabling safe and controlled fire testing. The system utilizes a camera to capture visual data, which is processed using image detection techniques to identify the presence of fire or smoke. Upon detection, the system generates an early warning alert to enhance safety and improve response time. The project encompasses design, development, and testing phases to ensure accuracy and reliability of the system. The results demonstrate that the proposed system effectively detects fire, making it a valuable tool for training and enhancing aircraft fire safety awareness. Furthermore, this project supports Sustainable Development Goals (SDGs) 4 (Quality Education), 9 (Industry, Innovation and Infrastructure), and 13 (Climate Action) by providing a practical training platform that enhances technical skills, promotes innovation in safety systems, and reduces fire-related risks in aviation environments.
