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

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Titel: Design and Implementation of a Smart Dual-Stage Fire Crisis Management System Using Raspberry Pi for Safety and Security Applications.
Autoren: Irianto, Alsayaydeh, Jamil Abedalrahim Jamil, Khang, Adam Wong Yoon, Farid, Mazen, Herawan, Safarudin Gazali
Quelle: International Journal of Safety & Security Engineering; Oct2025, Vol. 15 Issue 10, p2081-2091, 11p
Schlagwörter: RASPBERRY Pi, FIRE detectors, CRISIS management, INTERNET of things, FALSE alarms, INDUSTRIAL safety, FIRE management, IMAGE processing
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. [ABSTRACT FROM AUTHOR]
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Datenbank: Complementary Index