Development of IOT Based Automated Fire Fighting Drone for Wild Fire Detection and Extinguishing

Wildfires are a growing environmental concern, causing widespread destruction to forests, wildlife, property, and human lives. Traditional firefighting methods often face challenges such as delayed response time, limited accessibility in remote areas, and risk to human safety. This project aims to develop an IoT-based automated drone system capable of detecting and extinguishing wildfires efficiently and autonomously. The proposed system integrates sensors such as temperature, gas (CO, CO₂), and flame detectors to continuously monitor environmental conditions. These sensors are connected to an IoT-enabled microcontroller that processes data in real-time and communicates with a central control unit via wireless technologies. Upon detecting signs of fire, the drone autonomously navigates to the affected area using GPS and onboard navigation systems. Equipped with a thermal camera and a fire-extinguishing payload (such as flame-retardant balls or liquid dispersers), the drone provides live video feedback and can suppress the fire at its early stage. The system’s automation reduces human intervention, enables rapid response, and allows deployment in inaccessible or high-risk regions. Multiple drones can work collaboratively to cover large forested areas. This project demonstrates the potential of integrating IoT, autonomous aerial vehicles, and intelligent sensor networks in addressing the growing threat of wildfires through early detection and rapid response.