Chongqing, China

Ning Zhou

This inventor holds 1 USPTO granted patent. Top assignee: Chongqing University of Posts and Telecommunications. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ning Zhou. Retrieved from https://idiyas.com/inventor/ning-zhou-b050i01m

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

Calculating rank

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Ning Zhou and Intelligent Recognition for Barbershop Workflows.

Introduction

Ning Zhou is an inventor based in Chongqing, China, whose patent work addresses the use of machine vision to recognize service activities in barbershops. The supplied information identifies Chongqing University of Posts and Telecommunications as her affiliated company.

Latest Patents

Zhou is associated with 1 patent, titled “Intelligent Recognition Method for Job Contents of Barbershop Employees.” The invention describes a system that uses trained face-recognition and action-recognition models to identify employees, customers, tools, and actions in a barbershop. It then organizes these observations into sequences of interactions and applies a deep neural network to determine the service work performed by employees. The method is intended to support more efficient intelligent management of barbershops.

Career Highlights

The patent reflects an application of machine vision and deep learning to service-industry operations. Its approach combines face identification, action recognition, and job-content classification to interpret activity in a practical barbershop setting.

Collaborations

The supplied information names Xin Liu and Ying Qian as Zhou’s coworkers. It does not specify their roles in the patent or the extent of their collaboration.

Conclusion

Ning Zhou’s patent applies machine vision and deep learning to recognize barbershop employee activities, offering a technology-focused approach to service management.

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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