An early warning system for forest fires
An early warning system for forest fires Development of an innovative solution possible thanks to BMBF funding ‘The increasing threat of forest fires requires innovative approaches to prevention and early detection. The main aim of the project is to develop an autonomous monitoring system for the ultra-early detection of forest fires. For this purpose, an intelligent sensor network will be implemented that can identify potential fire hotspots using computational fluid dynamics (CFD) simulations and current wind data. This information is then forwarded to a drone equipped with advanced image processing and AI algorithms. The drone autonomously monitors the [...]