Portsmouth, United Kingdom

Ze Ji

This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Dyson Technology Limited. Active years: 2018.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ze Ji. Retrieved from https://idiyas.com/inventor/ze-ji

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

Calculating rank
USPTO Granted Patents = 2 

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 11(Granted Patents)


Company Filing History:


Years Active: 2018

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2 patents (USPTO):Explore Patents

Title: Ze Ji - Innovator in Mobile Robotics

Introduction

Ze Ji is a prominent inventor based in Portsmouth, GB. He has made significant contributions to the field of mobile robotics, holding 2 patents that showcase his innovative approach to technology.

Latest Patents

His latest patents include a mobile robot featuring a sophisticated vision system. This system comprises a camera and two or more light sources, each designed to provide adjustable illumination to different areas surrounding the robot. The unique arrangement allows for enhanced image capture by illuminating separate sections of the captured image. Another patent describes a mobile robot equipped with a vision system that includes a camera and at least one light source. This system features a control unit that detects image features and adjusts the light source's illumination based on the number of detected features.

Career Highlights

Ze Ji is currently employed at Dyson Technology Limited, where he continues to develop cutting-edge technologies in mobile robotics. His work focuses on enhancing the functionality and efficiency of robotic systems.

Collaborations

He collaborates with Christopher Andrew Smith, contributing to innovative projects within the company.

Conclusion

Ze Ji's contributions to mobile robotics reflect his dedication to advancing technology in this field. His patents demonstrate a commitment to improving robotic vision systems, paving the way for future innovations.

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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