Seoul, South Korea

Dae Gyun Lee

This inventor holds 1 USPTO granted patent. Top assignee: Corners Co., Ltd.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Dae Gyun Lee. Retrieved from https://idiyas.com/inventor/dae-gyun-lee

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Dae Gyun Lee: Innovator in Digital Twin Technology

Introduction

Dae Gyun Lee is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of digital twin technology, particularly through his innovative methods for object recognition and tracking in space.

Latest Patents

Dae Gyun Lee holds a patent for a "Method and system for identifying and tracking an object in space and generating digital twin contents including a corresponding object with regard to the space." This patent outlines a method of creating digital twin content based on object recognition. The process involves identifying an object in a space using a camera, determining parameters associated with the camera, and creating digital twin content that accurately represents the identified object.

Career Highlights

Dae Gyun Lee is currently associated with Corners Co., Ltd., where he continues to develop and refine his innovative ideas. His work focuses on enhancing the capabilities of digital twin technology, which has applications across various industries.

Collaborations

Some of his notable coworkers include Dong Oh Kim and Jang Won Choi, who contribute to the collaborative efforts at Corners Co., Ltd. Their teamwork fosters an environment of innovation and creativity.

Conclusion

Dae Gyun Lee's contributions to digital twin technology exemplify the impact of innovative thinking in modern industries. His work not only advances the field but also sets a foundation for future developments in object recognition and tracking.

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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