Abstract: Fire accidents in forests, industrial zones, and urban areas cause severe damage to life, property, and the environment. Early detection and rapid response are critical to minimizing losses, but conventional fire monitoring systems are limited by fixed coverage, delayed response, and human dependency. This project presents a drone-based fire detection and emergency response system that utilizes a quadcopter equipped with flame, temperature, and smoke sensors along with GPS and wireless communication modules. The system continuously monitors large and inaccessible areas, detects fire conditions in real time, and transmits alert notifications with precise location details to authorities through an IoT platform. A live camera feed further assists in fire verification. The proposed system offers improved accuracy, rapid response, mobility, and reduced risk to human life, making it an effective solution for modern fire monitoring and disaster management applications.

Quadcopter drone frame: The physical structure or chassis of the drone that holds all other components. Brushless DC motor with propellers: Provides the necessary thrust and propulsion for the drone to fly. Electronic speed controllers (ESC's): Regulates the speed and direction of the motors based on signals from the flight controller. Flight controller (Pixhawk/KK/NAZA): The "brain" of the drone, processing inputs from sensors and the user to stabilize and control flight. Microcontroller (Arduino/Raspberry Pi): An additional small computer used for processing sensor data or managing specific payloads. Thermal camera or flame sensor: Detects heat signatures or the presence of a flame to identify fire locations. Smoke/Gas sensor, Temperature Sensor: Detects smoke, specific gases, or abnormal temperatures to confirm fire or hazardous conditions. GPS module: Provides location data (latitude, longitude, altitude) for navigation and mapping fire locations. Wi-Fi/RF/-GSM Communication module: Enables wireless communication between the drone and a ground control station or emergency services. Li-Po battery: The power source for all drone components. Power distribution board: Distributes power from the battery to the various electronic components efficiently. Camera module: Captures visual data for monitoring and assessment. Buzzer LED indicators: Provides audible and visual alert

Keywords: Internet of things, UAV (Unmanned Aerial Vehicle), sensors, real time monitering.

Downloads: | DOI: 10.17148/IJIREEICE.2026.14317