Singapore, Singapore

Yinan He

This inventor holds 3 USPTO granted patents and 1 published patent application. Top assignee: Sap Se. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yinan He. Retrieved from https://idiyas.com/inventor/yinan-he-q6bmt9r1

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

Calculating rank
USPTO Granted Patents = 3 

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2026

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3 patents (USPTO):Explore Patents

Title: Yinan He - Innovator in Defect Detection Technology

Introduction

Yinan He is a notable inventor based in Singapore, SG. He has made significant contributions to the field of defect detection technology. His innovative approach focuses on generating synthetic defect data to enhance the training of defect detection models.

Latest Patents

Yinan He holds a patent titled "Generating minority class defect detection data from visual inspection dataset using self-supervised defect generator." This patent encompasses methods, systems, and computer-readable storage media for a defect detection system. The system generates synthetic defect data that accurately represents real-world defects in products. This synthetic data is then utilized in training data for developing a defect detection model. The model is subsequently deployed in a production environment to effectively identify defects in products.

Career Highlights

Yinan He is currently employed at SAP SE, where he applies his expertise in defect detection technology. His work contributes to the advancement of quality assurance processes within the company.

Collaborations

Yinan collaborates with talented coworkers, including Xinyan Chen and Rajesh Vellore Arumugam. Their combined efforts enhance the innovation and effectiveness of defect detection solutions.

Conclusion

Yinan He is a pioneering inventor whose work in defect detection technology is shaping the future of quality assurance in products. His contributions are vital for improving defect detection processes across various industries.

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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