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.

Vespera II Exploration Station with Smart Technology
Vespera II Exploration Station with Smart Technology
 In Plain Sight: An investigation into UFOs and impossible science
In Plain Sight: An investigation into UFOs and impossible science
Ross Coulthart
 After the Flying Saucers Came: A Global History of the UFO Phenomenon
After the Flying Saucers Came: A Global History of the UFO Phenomenon
Greg Eghigian
 Imminent: Inside the Pentagon’s Hunt for UFOs
Imminent: Inside the Pentagon’s Hunt for UFOs
Luis Elizondo
Our recommendations from Amazon
UAP SkyCAM: AI-Powered Camera Detects Aerial Phenomena - Innovations Report
innovations-report.com

UAP SkyCAM: AI-Powered Camera Detects Aerial Phenomena - Innovations Report

A new camera system has gone into test operation at the University of Würzburg. It is designed to detect unidentified aerial phenomena using artificial