Design of a Drone that Applies Multisensor Information for the Early Detection of Forest Fires

Paredes H.H.R.; Suazo W.C.M.; Calderón J.G.A.; Quijano S.A.C. · 2023 3rd International Conference on Robotics, Automation and Artificial Intelligence, RAAI 2023 (2023) · DOI: 10.1109/raai59955.2023.10601205

Resumen

The article focuses on the design and development of a drone equipped with advanced technology for the early detection of wildfires, a major threat to the environment, human life and property. Early detection is essential for effective response. This drone has multiple advanced sensors, including thermal cameras, high-resolution cameras and gas sensors, allowing it to continuously and accurately monitor forest areas. Its autonomous and programmable operation capability makes it an efficient tool for regular patrols over critical areas. The fire detection system is based on real-time analysis of thermal and high-resolution images captured by the drone. Computer vision algorithms process these images to identify early signs of fire, such as changes in temperature, smoke or presence of fire. When a potential fire is detected, the drone notifies authorities immediately. The advanced technology applied in this drone has the potential to save lives, reduce property damage and preserve the environment. This innovative approach to early wildfire detection shows great potential for the protection of vulnerable ecosystems and the safety of communities.

Instituciones: Universidad Continental