Cambridge, MA, United States of America

Kaidong Zhou

This inventor holds 1 USPTO granted patent, plus 1 CIPO patent. Top assignee: Butlr Technologies, Inc.. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kaidong Zhou. Retrieved from https://idiyas.com/inventor/kaidong-zhou

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

Calculating rank

% Patents Active = 100.0


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Kaidong Zhou: Innovator in Pose Detection Technology

Introduction

Kaidong Zhou is a notable inventor based in Cambridge, MA (US). He has made significant contributions to the field of pose detection technology. His innovative approach utilizes thermal data to enhance posture detection systems.

Latest Patents

Kaidong Zhou holds 1 patent for his invention titled "Pose detection using thermal data." This patent describes a system that provides functionality for posture detection by employing a pose detection algorithm on reduced resolution images. The method involves receiving an image of a human from a sensor, placing a bounding box on the image that contains pixel data of the human, acquiring bounding box data, and determining the pose of the human based on this data.

Career Highlights

Kaidong Zhou is currently associated with Butlr Technologies, Inc., where he continues to develop innovative solutions in the realm of pose detection. His work is instrumental in advancing the capabilities of technology in understanding human posture.

Collaborations

Kaidong collaborates with talented individuals such as Rudrasis Chakraborty and Yan Zhang, contributing to a dynamic team focused on innovation.

Conclusion

Kaidong Zhou's work in pose detection technology exemplifies the impact of innovative thinking in the tech industry. His contributions are paving the way for advancements in how we understand and interpret human movement.

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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