Guangdong, China

Jinzhou Sha

This inventor holds 1 USPTO granted patent. Top assignee: Guangzhou Automobile Group Co., Ltd.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jinzhou Sha. Retrieved from https://idiyas.com/inventor/jinzhou-sha

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 = 6.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Jinzhou Sha - Innovator in Drowsy Driving Detection

Introduction

Jinzhou Sha is a notable inventor based in Guangdong, China. He has made significant contributions to the field of automotive safety through his innovative work. His focus on drowsy driving detection systems highlights the importance of driver alertness in preventing accidents.

Latest Patents

Jinzhou Sha holds a patent for a "Drowsy driving detection method and system thereof, and computer device." This patent describes a method that involves acquiring a side face image of a driver using a camera module. The system performs face recognition to determine if the driver is in the ID library and periodically checks for signs of drowsiness by analyzing eye movement feature parameters.

Career Highlights

Jinzhou Sha is associated with Guangzhou Automobile Group Co., Ltd., where he applies his expertise in developing advanced safety technologies. His work is crucial in enhancing the safety features of vehicles, thereby contributing to the overall well-being of drivers and passengers.

Collaborations

Jinzhou Sha collaborates with Tianlai Wu, who is also involved in the development of innovative automotive technologies. Their partnership aims to improve driver safety through cutting-edge research and development.

Conclusion

Jinzhou Sha's contributions to drowsy driving detection systems exemplify the vital role of innovation in enhancing road safety. His work not only addresses a critical issue but also sets a precedent for future advancements in automotive technology.

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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