Patent ID: 11915602
Assignee: NORTH CAROLINA STATE UNIVERSITY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method comprising:
detecting, by one or more computing devices, a radio frequency (RF) signal;
determining, by the one or more computing devices, that the RF signal is generated from an unmanned aerial vehicle (UAV) based on the detected RF signal;
obtaining, by the one or more computing devices, a color spectrogram image of the detected RF signal;
classifying, by the one or more computing devices, at least a make and model of the UAV based on the color spectrogram image of the detected RF signal;
sensing, by the one or more computing devices, for a remote identification field data broadcasted by the UAV;
receiving, by the one or more computing devices, remote identification information of the UAV from a network database, if the network database is available;
assessing, by the one or more computing devices, a threat likelihood of the UAV based on joint processing of at least the color spectrogram image-based classification of the UAV and the received remote identification information of the UAV; and
signaling, by the one or more computing devices, an alert containing a description of the UAV and the threat if the UAV is assessed as a harmful threat.