Deutsch Intern
    Computer Science VIII - Aerospace Information Technology


    SkyCAM-5 is a experimental test platform for the autonomous detection of Unidentified Aerial Phenomena (UAP's). Through the use of image processing algorithms, the sky is continuously monitored for unusual phenomena. Current machine learning models are applied to reduce wrong detections. The main objective of the camera system is to detect UAP's. It can also detect short duration luminous phenomena such as lightning or meteors. The system is in continous test operation since december 2021 and is the base for an extended system in development.

    Detected objects on 25. December 2021 (helicopter, birds) by SkyCAM-5 (Photo: H. Kayal)

    SkyCAM-5 (Photo: H. Kayal)



    Fig.: Functionality of the SkyCAM-5 software for the detection of unknown phenomena

    Known objects such as birds, insects or helicopters are often detected in the camera's environment. These are detected and filtered out by a Convolutional Neural Network. The system will be extended by a numbner of additional elements and features in the future such as multiply sensors, tracking system etc.


    Fig.: Examples of detected objects