Drone Radar Can Spot a Mavic at 500 Meters

Suppose you want to monitor your airspace so that even a small drone can’t get through without you knowing. This elegant and compact system can protect you.

You set up 3 towers six meters apart, and they connect to a computer with artificial intelligence that has been taught about all sorts of drones, mainly what their RF signals look like. Not only that, this invention can tell if the trespassing drone’s operator is nearby, or if the drone is following waypoints.

Claim 1: “A system for signal identification in a radiofrequency (RF) environment, comprising: at least one node device including a processor and at least one memory in communication with at least one RF receiver; wherein the at least one RF receiver is operable to capture RF data in the RF environment and transmit the RF data to the at least one node device; wherein the at least one node device is operable to average Fast Fourier Transform (FFT) data derived from the RF data into at least one tile; wherein the at least one tile is visually represented as at least one waterfall image; wherein the at least one node device is operable to analyze the at least one waterfall image using machine learning (ML) or at least one convolutional neural network (CNN) to identify at least one signal, at least one signal type, and/or noise to create at least one analyzed waterfall image; and wherein the at least one analyzed waterfall image includes a visual indication of the at least one signal, the at least one signal type, and/or the noise.”

The claim seems to say that the waterfall image, i.e. the RF profile it sees, is analyzed by machine learning.

Title: “UNMANNED VEHICLE RECOGNITION AND THREAT MANAGEMENT”

US Patent Application No: 20240428693

Filed: (USA Provisional): 2018-02-19

Published: 2024-12-26

Applicant: Digital Global Systems, Inc.