The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 30, 2025

Filed:

May. 27, 2025
Applicants:

Hainan Research Institute of Zhejiang University, Sanya, CN;

Hainan Tongling Technology Co., Ltd, Sanya, CN;

Zhejiang University, Hangzhou, CN;

Inventors:

Yunfeng Yan, Sanya, CN;

Xiangyu Wen, Sanya, CN;

Guangxin Zhi, Sanya, CN;

Donglian Qi, Sanya, CN;

Xiaotian Chen, Sanya, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06V 10/20 (2022.01); G06V 10/25 (2022.01); G06V 10/30 (2022.01); G06V 10/40 (2022.01); G06V 10/50 (2022.01); G06V 10/70 (2022.01); G06V 10/75 (2022.01); G06V 10/764 (2022.01); G06V 10/80 (2022.01); G06V 10/82 (2022.01); G06V 20/40 (2022.01); G06V 20/52 (2022.01); G06V 20/64 (2022.01);
U.S. Cl.
CPC ...
G06V 10/764 (2022.01); G06V 10/25 (2022.01); G06V 10/255 (2022.01); G06V 10/30 (2022.01); G06V 10/40 (2022.01); G06V 10/50 (2022.01); G06V 10/70 (2022.01); G06V 10/75 (2022.01); G06V 10/80 (2022.01); G06V 10/82 (2022.01); G06V 20/40 (2022.01); G06V 20/52 (2022.01); G06V 20/64 (2022.01); G06T 2207/10016 (2013.01); G06T 2207/20084 (2013.01); G06V 2201/07 (2022.01); G06V 2201/08 (2022.01);
Abstract

A method and an apparatus for automatically recognizing an unmanned aerial vehicle, an electronic device, and a computer medium are provided. A specific implementation of the method includes: in response to determining that a radio detection device detects a radio signal, preprocessing the radio signal to generate preprocessed radio spectrum data; extracting radio signal features in the preprocessed radio spectrum data; inputting the radio signal features into a pre-trained unmanned aerial vehicle signal recognition model to obtain an unmanned aerial vehicle signal recognition result; in response to determining that the unmanned aerial vehicle signal recognition result represents an unmanned aerial vehicle signal, controlling a high-definition camera apparatus associated with the radio detection device to photograph an environmental video of a surrounding environment at a first time in real time; and generating unmanned aerial vehicle detection information corresponding to the first time according to a three-dimensional feature information group.


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