AI-Powered SkyCAM-5 for Autonomous UAP Detection at the University of Würzburg

To the point

Researchers at the University of Würzburg are testing an autonomous SkyCAM-5 that uses AI to monitor the sky for unidentified aerial phenomena, detect moving objects and brief luminous events, classify known objects with a neural network and save video, and learn from human feedback during operation to improve, with plans for a second camera for verification, infrared sensors, a tracking telescope, and networks across Europe led by Hakan Kayal who is seeking funding.