Systems, methods, apparatuses, and devices for identifying, tracking, and managing unmanned aerial vehicles

Abstract

Systems, methods, and apparatus for identifying and tracking UAVs including a plurality of sensors operatively connected over a network to a configuration of software and/or hardware. Generally, the plurality of sensors monitors a particular environment and transmits the sensor data to the configuration of software and/or hardware. The data from each individual sensor can be directed towards a process configured to best determine if a UAV is present or approaching the monitored environment. The system generally allows for a detected UAV to be tracked, which may allow for the system or a user of the system to predict how the UAV will continue to behave over time. The sensor information as well as the results generated from the systems and methods may be stored in one or more databases in order to improve the continued identifying and tracking of UAVs.

What is claimed is: 
     
         1 . A method for identifying unmanned aerial vehicles (UAVs) in a particular air space via the use of one or more video sensors, comprising the steps of:
 receiving a video frame from a video feed of the particular air space, wherein the video feed was captured by a particular video sensor proximate to the particular air space;   identifying at least one region of interest (ROI) in the video frame, the at least one ROI comprising an image of an object that may be a UAV flying within the particular air space;   performing an object classification process with respect to the at least one ROI to determine whether the object in the image is a UAV, the object classification process comprising the steps of:
 extracting image data from the image of the at least one ROI; 
 comparing the extracted image data to prior image data of objects known to be UAVs to determine a probability that the object in the image is a UAV; and 
 upon determination that the probability that the object in the image is a UAV exceeds a predetermined threshold, denoting the object in the image as a UAV.