Chongqing, China

Meilan Jiang

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Meilan Jiang. Retrieved from https://idiyas.com/inventor/meilan-jiang-tqd0h591

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

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Average Co-Inventor Count = 1.0

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Meilan Jiang and Intelligent Recognition for Barbershop Services.

Introduction

Meilan Jiang is an inventor based in Chongqing, China, associated with Chongqing University of Posts and Telecommunications. Her patent work applies machine vision and deep learning to recognize the service activities performed by barbershop employees.

Latest Patents

Jiang is associated with 1 patent: “Intelligent Recognition Method for Job Contents of Barbershop Employees.” The invention describes a system that uses collection devices, face-recognition models, and action-recognition models to identify employees, customers, and service-related actions. It then organizes these observations into sequences linking people and actions, and uses a deep neural network to determine the service work performed for customers. The method is intended to support more efficient, intelligent management of barbershops.

Career Highlights

Jiang’s listed patent highlights an application of machine vision to service-industry operations. By combining face recognition, action recognition, and job-content classification, the invention aims to turn activity in a barbershop into structured information that can assist management.

Collaborations

Jiang is associated with Chongqing University of Posts and Telecommunications. Her listed coworkers include Xin Liu and Ying Qian.

Conclusion

Meilan Jiang’s patent presents a machine-vision approach to identifying barbershop employees’ service activities, connecting her work with intelligent management applications in the service 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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