Beijing, China

Shihchieh Lo

This inventor holds 2 USPTO granted patents. Top assignee: Fujian Kuke Intelligent Technology Co., Ltd.. Active years: 2020.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Shihchieh Lo. Retrieved from https://idiyas.com/inventor/shihchieh-lo

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 = 2.0

ph-index = 2

Forward Citations = 15(Granted Patents)


Company Filing History:


Years Active: 2020

Loading Chart...
2 patents (USPTO):Explore Patents

Title: Shihchieh Lo: Innovator in Facial Recognition Technology

Introduction

Shihchieh Lo is a prominent inventor based in Beijing, China. He has made significant contributions to the field of facial recognition technology. With a total of 2 patents to his name, he continues to push the boundaries of innovation in this rapidly evolving sector.

Latest Patents

Among his latest patents are a facial recognition device and a combined facial recognition device and support. These inventions showcase his expertise and commitment to enhancing security and user experience through advanced technology.

Career Highlights

Shihchieh Lo is currently employed at Fujian Kuke Intelligent Technology Co., Ltd. His work at this company has allowed him to collaborate with other talented professionals in the field, furthering the development of innovative solutions.

Collaborations

One of his notable coworkers is Ketuan Zhan. Together, they contribute to the advancement of technology in their respective areas of expertise.

Conclusion

Shihchieh Lo's work in facial recognition technology exemplifies the impact of innovation on modern society. His patents and collaborations highlight his dedication to improving technology for a safer and more efficient future.

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]
Loading…