Revere, MA, United States of America

Kangyan Liu

This inventor holds 2 USPTO granted patents, plus 1 CIPO patent. Top assignee: Motorola Solutions, Inc.. Active years: 2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kangyan Liu. Retrieved from https://idiyas.com/inventor/kangyan-liu

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 = 5.1

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2021

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2 patents (USPTO):Explore Patents

Title: Innovations by Kangyan Liu

Introduction

Kangyan Liu is an accomplished inventor based in Revere, MA (US). He has made significant contributions to the field of technology, particularly in systems for detecting anomalies and predicting object movement through video surveillance.

Latest Patents

Kangyan Liu holds 2 patents. His latest patents include "Systems and methods for detecting anomalies in geographic areas," which involves methods for identifying unexpected relationships between entities in a geographic area and notifying safety officers of potential anomalies. Another notable patent is "Method, system and computer program product for self-learned and probabilistic-based prediction of inter-camera object movement," which focuses on building transition models to predict object movement across multiple video cameras.

Career Highlights

Kangyan Liu is currently employed at Motorola Solutions, Inc., where he applies his expertise in innovative technologies. His work has contributed to advancements in safety and surveillance systems, enhancing the capabilities of video monitoring.

Collaborations

Some of his notable coworkers include Chia Ying Lee and Aleksey Lipchin, with whom he collaborates on various projects within the company.

Conclusion

Kangyan Liu's innovative work and patents reflect his commitment to advancing technology in safety and surveillance. His contributions continue to impact the field positively.

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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