Chongqing, China

Feng Chen

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Feng Chen. Retrieved from https://idiyas.com/inventor/feng-chen-dkmjo553

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 

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: Feng Chen and Intelligent Recognition for Barbershop Services.

Introduction

Feng Chen is an inventor based in Chongqing, China, and is associated with Chongqing University of Posts and Telecommunications. His work includes an invention applying machine vision and deep learning to recognize barbershop employees’ service activities.

Latest Patents

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

Career Highlights

Chen’s listed patent demonstrates an application of machine vision to service-industry operations. By combining face recognition, action recognition, and job-content classification, the system aims to interpret practical service scenarios and identify employees’ work activities.

Collaborations

Chen’s listed coworkers include Xin Liu and Ying Qian. His institutional affiliation is Chongqing University of Posts and Telecommunications.

Conclusion

Feng Chen’s patent applies machine vision and deep learning to recognize barbershop service activities, illustrating how intelligent systems can support workplace 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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