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

Citation

Irianto, Irianto and Alsayaydeh, Jamil Abedalrahim Jamil and Khang, Adam Wong Yoon and Farid, Mazen and Herawan, Safarudin Gazali (2025) Design and Implementation of a Smart Dual-Stage Fire Crisis Management System Using Raspberry Pi for Safety and Security Applications. International Journal of Safety and Security Engineering, 15 (10). pp. 2081-2091. ISSN 20419031

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Abstract

Advances in Internet of Things (IoT) and embedded computing have made it possible to build smarter fire alarms that reduce false triggering, not just detect heat or smoke. This study presents a Raspberry Pi–based fire crisis controller that uses two-stage verification: an infrared flame sensor triggers first, then a Pi Camera runs OpenCV-based image checks to confirm fire before an alert is escalated. Requiring agreement between hardware sensing and vision helps suppress nuisance activations. The prototype integrates the flame sensor, camera, and a piezo buzzer with software for image filtering, database logging, and web-based IoT alerts. In 30 controlled indoor trials, it achieved 98% average detection accuracy and reduced false alarms by 92% compared with a baseline single-sensor flame detector. End-to-end response from ignition to alert activation averaged 9.4 s and stayed under 10 s in all scenarios. After confirmation, the controller sounds the buzzer and posts an alert through the web interface, enabling faster response. Overall, the results show early detection with strong false-alarm suppression using low-cost hardware suitable for residential and small industrial settings. Future work will add smoke and temperature sensing, support offline operation during network outages, and explore RFID tracking of safety equipment to improve on-site coordination.

Item Type: Article
Uncontrolled Keywords: IoT-based alerting
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 17 Apr 2026 08:15
Last Modified: 17 Apr 2026 08:15
URII: http://shdl.mmu.edu.my/id/eprint/15721

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