Energy- and data-efficient methods for environment perception in embedded AI systems

The aim of the project is to improve the perception of the environment in AI systems. In the project, various AI systems, for example for observation, care or maintenance, are being examined in different application areas. Through pre-programmed knowledge in certain subject areas, they should process the acquired information more effectively. Reduced data volumes and more effective processing in AI systems could favour decentralised processing in so-called edge computing. In the project, this is being researched in the application fields of "Smart Factory" and "Smart Farming".