New Taipei, Taiwan

Kuan-Chieh Wang

This inventor holds 1 USPTO granted patent. Top assignee: Ionetworks Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kuan-Chieh Wang. Retrieved from https://idiyas.com/inventor/kuan-chieh-wang-3lncowva

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


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Kuan-Chieh Wang: Inventor of a License Plate Identification System

Introduction

Kuan-Chieh Wang is an inventor based in New Taipei, Taiwan. His patent work includes a system and method for identifying license plates, with a focus on processing plates that display characters in two rows.

Latest Patents

Wang is associated with 1 patent, titled “License Plate Identification System and Method Thereof.” The invention uses a server to store license plate images for identification and sample images containing double-row characters. Deep-learning training generates a neural network model, which analyzes an image submitted for identification. A decoding algorithm then processes the analysis results to produce the recognized license plate characters.

Career Highlights

Wang’s listed invention applies neural networks and image analysis to the practical challenge of recognizing license plates with double-row character layouts. He is associated with Ionetworks Inc.

Collaborations

Wang’s listed coworkers include Ting Lin and Chih-Hung Wang. The available information identifies these colleagues but does not specify their roles in the patent.

Conclusion

Kuan-Chieh Wang’s patent work combines deep learning and decoding techniques to identify license plate characters, including those arranged in two rows.

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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