New Taipei, Taiwan

Ming-Feng Wu

This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Opxion Technology Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ming-Feng Wu. Retrieved from https://idiyas.com/inventor/ming-feng-wu-9dh7qdsh

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

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USPTO Granted Patents = 1 

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: Ming-Feng Wu and His Optical Scanning Invention.

Introduction

Ming-Feng Wu is an inventor based in New Taipei, Taiwan. His work includes an optical scanning system designed to capture an object’s three-dimensional structure without damaging it.

Latest Patents

Wu is associated with 1 patent: “Optical Scanning System for Non-Destructively Acquiring Three-Dimensional Structure of Object.” The system combines an optical image processing device, which generates a beam along a first optical axis, with an optical scanning device that redirects the beam along a second optical axis to scan an object.

By scanning across the X- and Y-axis directions, the system acquires YZ and XZ cross-sectional structural images at consecutive positions. These images can then be used to reconstruct a three-dimensional structural image of the object.

Career Highlights

Wu is associated with Opxion Technology Inc. His patent describes a non-destructive imaging approach that uses optical scanning and cross-sectional image acquisition to build a three-dimensional representation.

Collaborations

Wu’s listed coworkers include Feng-Yu Chang and Wen-Ju Chen.

Conclusion

Ming-Feng Wu’s patent focuses on reconstructing three-dimensional object structures through non-destructive optical scanning and image processing.

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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