Xuzhou, China

Qiqi Kou

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Qiqi Kou. Retrieved from https://idiyas.com/inventor/qiqi-kou

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

Calculating rank
USPTO Granted Patents = 1 

% 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: Qiqi Kou and Mine Machine Vision Innovation.

Introduction

Qiqi Kou is an inventor based in Xuzhou, China, associated with China University of Mining and Technology. Her patent work focuses on image-feature matching for mine machine vision.

Latest Patents

Kou is credited with 1 patent: “Method and System for Quickly Matching Image Features Applied to Mine Machine Vision.” The invention describes a process that denoises an image, divides it into super-pixels, and calculates each image block’s information entropy. Blocks exceeding a preset threshold are selected for feature-point extraction. A wavelet method then generates descriptors for those points, which are matched with feature points from a target image.

Career Highlights

The patent addresses image processing and feature matching in the context of mine machine vision. Its approach combines image segmentation, entropy-based block selection, feature extraction, and wavelet-based description.

Collaborations

Kou’s listed coworkers include Kai Zhao and Yuchen Wang. Her work is associated with China University of Mining and Technology.

Conclusion

Qiqi Kou’s patent presents a structured method for matching image features, with potential application to machine-vision systems used in mining.

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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