Fraunhofer Institute for Energy Economics and Energy System TechnologyBioDroneAI - Non-Invasive Automatic Multimodal Animal Detection Using Drones and Deep Learning
The BioDroneAI project uses low-noise LTA-UAV drones and AI-supported technology to make the monitoring of animal populations more comprehensive, efficient, and less disruptive to wildlife. The use of multimodal sensors, including thermal imaging and high-resolution cameras as well as acoustic detection, enables accurate and comprehensive recording of species in large and hard-to-reach areas.
Project Objective
BioDroneAI aims to protect biodiversity in sensitive ecosystems such as moors and strengthen their role as carbon sinks. Automated data collection and analysis is intended to alleviate the shortage of skilled workers in biodiversity monitoring and accelerate planning processes for sustainable energy infrastructure projects. In the long term, BioDroneAI supports biodiversity conservation and the achievement of the UN Sustainable Development Goals through an innovative combination of environmental technology, robotics, and artificial intelligence.
