Science Applications International. has filed a patent for a method using multiple cameras to detect and determine the position of unmanned aerial vehicles (UAVs) in a search space. The technology involves projecting search points onto images and processing subimages to locate the target object. GlobalData’s report on Science Applications International gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Science Applications International, MITM attack solutions was a key innovation area identified from patents. Science Applications International's grant share as of January 2024 was 67%. Grant share is based on the ratio of number of grants to total number of patents.

Detection and tracking of unmanned aerial vehicles using multiple cameras

Source: United States Patent and Trademark Office (USPTO). Credit: Science Applications International Corp

A recently filed patent (Publication Number: US20240037786A1) outlines a method for detecting and tracking unmanned aerial vehicles (UAVs) in a search space using images from multiple cameras. The method involves determining subimages indicating the presence of a UAV in the search space based on images from cameras positioned at least 100 meters apart, covering an area of at least 10,000 square meters. By analyzing these subimages, the position of the UAV in the search space can be determined and relevant information can be outputted.

Furthermore, the patent describes a computing device and a non-transitory computer-readable medium that can execute instructions to implement the method. These devices can assign search points to the UAV, determine spatial positions for these points, select additional subimages for further analysis, and even perform countermeasures to disable or destroy the detected UAV. The method also includes ignoring subimages that contain man-made or natural objects to focus solely on UAV detection. Overall, this patent presents a comprehensive approach to UAV detection and tracking using a network of cameras and advanced image processing techniques.

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