Pittsburgh, PA, United States of America

Hao Chen

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Carnegie Mellon University. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hao Chen. Retrieved from https://idiyas.com/inventor/hao-chen-ykfc5hiy

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: Hao Chen: Inventor in Multiview Product Detection and Recognition

Introduction

Hao Chen is an inventor based in Pittsburgh, Pennsylvania, and is associated with Carnegie Mellon University. His patent work addresses the challenge of detecting and identifying products when their orientation varies.

Latest Patents

Chen is credited with 1 patent: “System and Method for Multiview Product Detection and Recognition.” The invention describes capturing views of objects from different angles using multiple cameras, then combining the results of a matching process to identify an object among those enrolled in an object database. This approach is designed to support recognition regardless of an object’s orientation.

Career Highlights

Chen’s patent reflects work on computer vision and object recognition, with a focus on combining multiple camera views to improve product identification. He is associated with Carnegie Mellon University in Pittsburgh.

Collaborations

Chen’s listed coworker is Magesh Kannan. Their shared professional context is associated with Carnegie Mellon University.

Conclusion

Hao Chen’s patent presents a multiview approach to product detection and recognition, combining camera perspectives to identify objects across different orientations.

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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