FireWatch:LoRa based Wildfire Detection and Alert System

Wildfires in Sri Lanka pose a significant threat to the country's ecosystems, economy and the communities. To tackle the challenges associated with wildfires and work towards mitigating their impact on the environment, wildlife, and human populations, this research proposes a multidisciplinary approach that leverages technological advancements. However, the lack of an effective wildfire behavior prediction system, limited access to reliable weather data, and communication gaps among firefighting teams impede seamless collaboration, information dissemination, and emergency response efforts. In this regard, this project proposes a novel LoRa-based ad hoc network integrated with blockchain technology to improve communication efficiency, safety, and detection and prediction of scope and direction of wildfires in Sri Lanka's forests. The system facilitates real-time data communication between emergency teams inside the forest and main stations, enabling features like emergency alerts, weather updates, detecting direction and scope of the fire, and object detection. The research aims to develop and implement a system to enhance communication efficiency, improve firefighter's safety through early warning systems, and mitigate harm from wildfires.