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:
May. 05, 2026

Filed:

Sep. 19, 2022
Applicant:

Civil Aviation University of China, Tianjin, CN;

Inventors:

Shuangbao Li, Tianjin, CN;

Jingyi Yu, Tianjin, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06T 3/4046 (2024.01); G06V 10/77 (2022.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06T 7/0004 (2013.01); G06T 3/4046 (2013.01); G06V 10/7715 (2022.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30164 (2013.01);
Abstract

Provided are a YOLOv5-based real-time detection method and device for blade cracks in aeroengine operation and maintenance. The method includes: sending a first instruction to obtain images of internal blades of an engine; preprocessing the images of the internal blades of the engine to obtain a test dataset, a training dataset, and a validation dataset; inputting the training dataset into a preset YOLOv5 network model for training, preliminarily evaluating a model effect derived from training by using the validation dataset to adjust the model, testing the model by using a trained weight file and the test dataset, and obtaining an mAP value and a precision-recall curve to finally evaluate the model; obtaining the images of the internal blades of the engine in real time, detecting the internal blades of the engine in real time by using the weight file, and outputting a detection result.


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Li, Shuangbao. (2026). Yolov5-based real-time detection method and device for blade cracks in aeroengine operation and maintenance (U.S. Patent No. 12620079). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12620079

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