Tianjin, China

Shuangbao Li

This inventor holds 1 USPTO granted patent. Top assignee: Civil Aviation University of China. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Shuangbao Li. Retrieved from https://idiyas.com/inventor/shuangbao-li

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Shuangbao Li and Real-Time Aeroengine Blade-Crack Detection.

Introduction

Shuangbao Li is an inventor based in Tianjin, China, associated with the Civil Aviation University of China. His patent work focuses on applying computer vision to detect cracks in aeroengine blades during operation and maintenance.

Latest Patents

Li is named on one patent: “YOLOv5-Based Real-Time Detection Method and Device for Blade Cracks in Aeroengine Operation and Maintenance.” The invention describes collecting images of an engine’s internal blades, preprocessing them into training, validation, and test datasets, and training and evaluating a YOLOv5 model. Once trained, the model uses a weight file to detect blade cracks in real time and output detection results. Li’s listed portfolio includes 1 patent.

Career Highlights

The patent highlights Li’s work at the intersection of artificial intelligence, image analysis, and aviation maintenance. Its proposed workflow combines model training and evaluation with real-time image detection, aiming to support the identification of cracks in engine blades.

Collaborations

Li’s listed coworker is Jingyi Yu. The patent information also associates Li with the Civil Aviation University of China.

Conclusion

Shuangbao Li’s patent presents a YOLOv5-based approach to real-time aeroengine blade-crack detection, connecting computer vision techniques with aviation operation and maintenance.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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