This project aims to use drones and machine learning to measure the net volume of wood residue left in piles after harvesting. The dry content of these piles, known as BIOMASS, can be utilized and reduce the use of non-renewable energies and materials. Since this residue is usually burned, the utilization can also decrease the […]

This research project will develop an intelligent UAV (unmanned aerial vehicle) system, which is capable of autonomous navigation, for the inspection of power lines and utility. The automated inspection is based on the technologies of computer vision and artificial intelligence. The UAV flies autonomously over the infrastructure capturing the images with high-definition RGB camera and […]