FireGuard: Real Time Iot-Based Fire Detection System with Geo-tagging and Alarm Integration
FireGuard: A Real-Time IoT-Based Fire Detection System with Geo-Tagging and Alarm Integration
Fire incidents remain a major threat to lives, properties, and public safety, particularly in residential, commercial, and institutional environments where early detection and rapid response are critical. Traditional fire alarm systems often rely on single-sensor detection and lack real-time monitoring, precise location tracking, and intelligent alert mechanisms. To address these limitations, this study presents FireGuard, a Real-Time IoT-Based Fire Detection System with Geo-Tagging and Alarm Integration.
FireGuard utilizes an ESP32-based IoT device integrated with multiple sensors—smoke, flame, heat, and temperature sensors—to improve detection accuracy and reduce false alarms. Sensor data is transmitted in real time to a web-based monitoring system using internet connectivity. The system employs adaptive fire detection logic, wherein different alert levels are triggered based on the number and type of sensors activated. This multi-sensor approach ensures more reliable fire assessment compared to conventional single-trigger systems.
A key feature of FireGuard is its geo-tagging capability, which automatically associates each detected fire incident with the exact location of the building. This enables precise identification of affected areas and supports faster emergency response. When a critical fire condition is detected, the system activates audible alarms, sends real-time SMS notifications, and updates live dashboards for building owners, administrators, and emergency responders.
The system supports role-based dashboards, allowing building owners to monitor their properties, administrators to oversee system-wide activity, and emergency personnel to track incidents in real time. All fire events are logged in a centralized database for incident tracking, historical analysis, and post-event evaluation.
Overall, FireGuard demonstrates how IoT technology, real-time data processing, geo-location services, and intelligent alert mechanisms can be integrated into a unified fire detection and monitoring solution. The system enhances early fire detection, minimizes response time, and improves situational awareness, making it a practical and scalable solution for modern fire safety management.
Fire incidents remain a major threat to lives, properties, and public safety, particularly in residential, commercial, and institutional environments where early detection and rapid response are critical. Traditional fire alarm systems often rely on single-sensor detection and lack real-time monitoring, precise location tracking, and intelligent alert mechanisms. To address these limitations, this study presents FireGuard, a Real-Time IoT-Based Fire Detection System with Geo-Tagging and Alarm Integration.
FireGuard utilizes an ESP32-based IoT device integrated with multiple sensors—smoke, flame, heat, and temperature sensors—to improve detection accuracy and reduce false alarms. Sensor data is transmitted in real time to a web-based monitoring system using internet connectivity. The system employs adaptive fire detection logic, wherein different alert levels are triggered based on the number and type of sensors activated. This multi-sensor approach ensures more reliable fire assessment compared to conventional single-trigger systems.
A key feature of FireGuard is its geo-tagging capability, which automatically associates each detected fire incident with the exact location of the building. This enables precise identification of affected areas and supports faster emergency response. When a critical fire condition is detected, the system activates audible alarms, sends real-time SMS notifications, and updates live dashboards for building owners, administrators, and emergency responders.
The system supports role-based dashboards, allowing building owners to monitor their properties, administrators to oversee system-wide activity, and emergency personnel to track incidents in real time. All fire events are logged in a centralized database for incident tracking, historical analysis, and post-event evaluation.
Overall, FireGuard demonstrates how IoT technology, real-time data processing, geo-location services, and intelligent alert mechanisms can be integrated into a unified fire detection and monitoring solution. The system enhances early fire detection, minimizes response time, and improves situational awareness, making it a practical and scalable solution for modern fire safety management.
Project Members
Rodelyn Malunes, Pia Salgado, Marvin Sumper