Design and Implementation of a Smart Dual-Stage Fire Crisis Management System Using Raspberry Pi for Safety and Security Applications

Advances in the Internet of Things (IoT) and embedded systems have enabled smarter fire detection solutions that address the limitations of conventional alarms, particularly the issue of false triggers. This study presents a Raspberry Pi–based fire crisis controller that employs a two-stage detection process: a flame sensor for initial recognition and a Pi Camera with image processing (OpenCV) for confirmation. This dual-verification mechanism reduces false alarms by requiring both hardware and vision-based validation before triggering an alert.The system integrates a flame sensor, camera, and piezo buzzer with software modules for image filtering, database logging, and IoT-enabled web alerts. Experimental trials under varied conditions demonstrated near-perfect detection accuracy (~98%), while false alarms were reduced by over 90% compared to single-sensor systems. The end-to-end response time remained below 10 seconds, ensuring timely detection and notification. Once fire was confirmed, the system immediately activated an audible buzzer and dispatched alerts through the web interface, providing emergency teams with a critical few-seconds head start for response.The results confirm that the proposed fire crisis controller meets its objectives of early detection, false-alarm suppression, and rapid emergency notification. By combining low-cost hardware with IoT integration, the system offers a scalable and economical solution applicable to both residential and industrial settings. Future work will focus on enhancing robustness through the inclusion of additional sensors (e.g., smoke, temperature), enabling offline operation, and incorporating RFID tracking of safety equipment to streamline resource deployment during crises.