The project develops a system of unmanned aerial vehicles controlled in virtual environments. Virtual environments will be created with advanced 3D modeling methods that will enable the generation of synthetic datasets for training artificial intelligence algorithms. Algorithms will allow the spacecraft to position itself autonomously, map the environment, and identify objects of interest. The system for planning, monitoring, and analysis of flight missions enables safe and efficient management of the drone fleet. Data analysis based on machine learning methods enables optimal decision-making, process optimization, and savings. The system is applied for the supervision of container transport in ports and for the inspection of railway infrastructure.

The project coordinator is KRAKEN d.o.o. implementing this project together with UNIZG FER and PROTOSTAR LABS d.o.o. as their project partners.