Xuzhou, China

Kai Zhao

This inventor holds 1 USPTO granted patent. Top assignee: China University of Mining and Technology. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kai Zhao. Retrieved from https://idiyas.com/inventor/kai-zhao-0ot2026m

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


% Patents Active = 100.0

Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Innovations by Inventor Kai Zhao

Introduction

Kai Zhao is a notable inventor based in Xuzhou, China. He has made significant contributions to the field of machine vision, particularly in the mining industry. His innovative approach to image feature matching has the potential to enhance the efficiency and accuracy of mining operations.

Latest Patents

Kai Zhao holds a patent for a "Method and system for quickly matching image features applied to mine machine vision." This invention involves a comprehensive process that includes de-noising images, performing super-pixel segmentation, and calculating information entropy to identify relevant image blocks. The method further extracts feature points and utilizes a wavelet method to create feature point descriptors, ultimately enabling effective matching with target images. He has 1 patent to his name.

Career Highlights

Kai Zhao is affiliated with the China University of Mining and Technology, where he contributes to research and development in the field of mining technology. His work focuses on improving machine vision systems, which are crucial for modern mining operations.

Collaborations

He collaborates with colleagues such as Qiqi Kou and Deqiang Cheng, who share his commitment to advancing technology in the mining sector.

Conclusion

Kai Zhao's innovative work in image feature matching represents a significant advancement in mining technology. His contributions are poised to make a lasting impact on the industry.

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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