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For the Inventor, By the Inventor

Hangzhou, China

Xinyue Zhao

This inventor holds 7 USPTO granted patents and 1 EPO patent. Top assignee: Zhejiang University. Active years: 2022-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xinyue Zhao. Retrieved from https://idiyas.com/inventor/xinyue-zhao-wcc1f8jr

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

Calculating rank
USPTO Granted Patents = 7

% Patents Active = 71.4

 

Average Co-Inventor Count = 3.3

ph-index = 1


Company Filing History:

goldMedal7 out of 1,280 
 
Zhejiang University
 patents

Years Active: 2022-2026

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7 patents (USPTO):Explore Patents
1. 12608820 - Method for video moving object detection based on relative statistical characteristics of image pixels (2026-04-21),
2. 12573085 - Object pose recognition method based on triangulation and probability weighted RANSAC algorithm (2026-03-10),
3. 12347132 - 6D pose measurement method for mechanical parts based on virtual contour feature points (2025-07-01),
4. 12044521 - Method for suppressing reflection of binary grating image projection based on high-frequency pattern interference (2024-07-23),
5. 12013228 - Phase-shifting phase measurement error correction method based on pixel tracing of object raster images (2024-06-18),
6. 11847803 - Hand trajectory recognition method for following robot based on hand velocity and trajectory distribution (2023-12-19),
7. 11392787 - Method for grasping texture-less metal parts based on bold image matching (2022-07-19),

Title: Innovations of Xinyue Zhao

Introduction

Xinyue Zhao is a prominent inventor based in Hangzhou, China. He has made significant contributions to the field of video processing and object recognition. With a total of 7 patents, Zhao's work showcases his innovative approach to solving complex problems in technology.

Latest Patents

One of Zhao's latest patents is a "Method for video moving object detection based on relative statistical characteristics of image pixels." This invention discloses a method that adapts to changes in environmental lighting and tolerates dynamic backgrounds effectively. The process involves classifying pixels based on brightness change trends and establishing reference points for dynamic background points. This method allows for rapid detection without the need for real-time model updates, making it highly adaptable to complex scenes.

Another notable patent is the "Object pose recognition method based on triangulation and probability weighted RANSAC algorithm." This invention outlines a method for accurately recognizing object poses by utilizing triangulation and a probability-weighted RANSAC algorithm. The process includes extracting feature points from actual and template images, matching them, and calculating a spatial transformation matrix. This method achieves higher efficiency and meets practical application requirements.

Career Highlights

Xinyue Zhao is affiliated with Zhejiang University, where he continues to advance his research and innovations. His work has garnered attention for its practical applications in various fields, particularly in video analysis and object recognition.

Collaborations

Zhao collaborates with notable colleagues, including Zaixing He and Peilong Li, who contribute to his research endeavors.

Conclusion

Xinyue Zhao's innovative patents and contributions to technology highlight his expertise in video processing and object recognition. His work continues to influence advancements in these fields, showcasing the importance of innovation in solving real-world challenges.

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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