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:
Oct. 27, 2020

Filed:

Oct. 10, 2018
Applicant:

Chongqing Construction Engineering Group Corporation Limited, Chongqing, CN;

Inventors:

Bo Chen, Chongqing, CN;

Yifei Wu, Chongqing, CN;

Guoqiang Liu, Chongqing, CN;

Xiaoni Zeng, Chongqing, CN;

Xiaojun Deng, Chongqing, CN;

Zongyong Chen, Chongqing, CN;

Lin Qiu, Chongqing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 7/00 (2017.01); G06F 30/13 (2020.01); G06N 3/08 (2006.01); G06N 5/04 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0006 (2013.01); G06F 30/13 (2020.01); G06N 3/08 (2013.01); G06N 5/046 (2013.01); G06T 2207/30132 (2013.01); G06T 2207/30184 (2013.01);
Abstract

A high-precision intelligent detection method for bridge diseases based on spatial position. The method comprising: collecting images based on the high-definition image acquisition system; importing the image data and position information data into image processing software to create a mosaic image of each part of the bridge; importing the prepared spliced image map into the bridge disease intelligent identification system; obtaining the corresponding position and bridge of the bridge disease in the three-dimensional model of the bridge; identifying the stitched image map to obtain the size of the disease after identifying the bridge disease image and locating the bridge disease. The high-precision intelligent detection method for bridge diseases based on spatial position realizes automatic collection and intelligent analysis of bridge inspection data, reduces the workload of the inspection technicians and improves the detection efficiency.


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