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:
Dec. 07, 2021

Filed:

Aug. 17, 2020
Applicant:

Wuyi University, Jiangmen, CN;

Inventors:

Yikui Zhai, Jiangmen, CN;

Yihang Zhi, Jiangmen, CN;

Qirui Ke, Jiangmen, CN;

Cuilin Yu, Jiangmen, CN;

Wenlve Zhou, Jiangmen, CN;

Zilu Ying, Jiangmen, CN;

Junying Gan, Jiangmen, CN;

Junying Zeng, Jiangmen, CN;

Yanyang Liang, Jiangmen, CN;

Chaoyun Mai, Jiangmen, CN;

Chuanbo Qin, Jiangmen, CN;

Ying Xu, Jiangmen, CN;

Assignee:

Wuyi University, Jiangmen, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G05D 1/10 (2006.01); G05D 1/00 (2006.01); G06K 9/46 (2006.01); G06K 9/62 (2006.01); H04N 5/232 (2006.01);
U.S. Cl.
CPC ...
G06K 9/0063 (2013.01); G05D 1/0094 (2013.01); G05D 1/106 (2019.05); G06K 9/4604 (2013.01); G06K 9/4652 (2013.01); G06K 9/4671 (2013.01); G06K 9/6232 (2013.01); H04N 5/23238 (2013.01);
Abstract

A double attention network (DANet)-based drone patrol and inspection system for coastline floating garbage, including: an image acquisition module configured to shoot a video of a coastline in need of patrol and inspection by using a drone, and obtain an image from the video; a feature extraction module configured to extract shallow features and deep features, fuse the shallow features and the deep features to obtain a shared feature, and finally output a panoramic recognition result; a network training module configured to perform training on the labeled image so that the network can recognize the coastline and floating garbage; and a path correction module configured to adjust a flying direction of the drone.


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