New Taipei, Taiwan

Yi-Je Lin

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Kneron (Taiwan) Co., Ltd.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yi-Je Lin. Retrieved from https://idiyas.com/inventor/yi-je-lin

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

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Yi-Je Lin and Multi-Camera People Matching

Introduction

Yi-Je Lin is an inventor based in New Taipei, Taiwan, and works at Kneron (Taiwan) Co., Ltd. His patent work includes a method for matching and selecting people across multiple camera views.

Latest Patents

Lin is named on 1 patent: “Multi-camera people matching and selection method.” The invention captures images from multiple cameras and uses a machine-learning model to generate features for people appearing in those images. It synchronizes the features and corresponding images, then identifies people by comparing feature embeddings and considering spatial relationships or audio direction. The method also adjusts preference and display scores to select images that present people smoothly and appropriately.

Career Highlights

Lin’s patent reflects work on applying machine learning and computer vision to multi-camera systems. Its approach combines image analysis, temporal synchronization, identity matching, and image selection.

Collaborations

Lin’s listed coworkers include Hsien-Kai Hsin and Shr-Tze Wan. His work is associated with Kneron (Taiwan) Co., Ltd.

Conclusion

Yi-Je Lin’s patent describes a multi-camera system that uses machine learning and contextual information to match people and select suitable images for display.

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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