Taipei, Taiwan

Meng-Chia Hung

This inventor holds 1 USPTO granted patent. Top assignees: Inventec (Pudong) Technology Corporation, Inventec Corp.. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Meng-Chia Hung. Retrieved from https://idiyas.com/inventor/meng-chia-hung

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


% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Meng-Chia Hung: Patent Innovation in Image-Based Keyboard Verification

Introduction

Meng-Chia Hung is an inventor based in Taipei, Taiwan. His patent work includes a method for verifying keyboard files through image processing.

Latest Patents

Hung is associated with 1 patent: “Keyboard File Verification Method Based on Image Processing.” The method directs a processor to obtain a keyboard file and generate a search index and feature image from it. The search index is used to retrieve a template image from a database. The processor then calibrates the feature image to match the template’s resolution, creates candidate images through shifting, and compares key blocks in the candidates with a key block in the template. The comparison produces a difference map and a verification result.

Career Highlights

Hung has worked with Inventec Corp. and Inventec (Pudong) Technology Corporation. His patent reflects an approach to checking keyboard files by combining image calibration, candidate generation, and image comparison.

Collaborations

His listed coworkers include Hao Hsuan Lee and Trista Pei-Chun Chen.

Conclusion

Meng-Chia Hung’s patent describes an image-processing method for verifying keyboard files, connecting his inventive work with his experience at Inventec companies.

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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