This inventor holds 1 USPTO granted patent. Top assignee: Guangdong Polytechnic Normal University. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Weili Liu - Innovator in Binary Dot Matrix Code Identification
Introduction
Weili Liu is a prominent inventor based in Guangzhou, China. He has made significant contributions to the field of image processing and identification technologies. His innovative work focuses on methods for identifying binary dot matrix codes on mold surfaces, which has applications in various industries.
Latest Patents
Weili Liu holds a patent titled "Method for identifying binary dot matrix code on mold surface." This patent describes a comprehensive process that involves capturing multiple images of binary dot matrix codes, training a YOLOv8 network model, and utilizing advanced detection techniques to decode binary-encoded sequence data. The method enhances the accuracy and efficiency of identifying codes on mold surfaces, showcasing Liu's expertise in the field.
Career Highlights
Weili Liu is affiliated with Guangdong Polytechnic Normal University, where he contributes to research and development in technology and engineering. His work has garnered attention for its innovative approach to solving complex problems in code identification. Liu's dedication to advancing technology is evident in his research and the practical applications of his inventions.
Collaborations
Weili Liu collaborates with notable colleagues, including Peng Liang and Hong Zhang. Their combined expertise fosters a dynamic research environment that encourages innovation and the development of cutting-edge technologies.
Conclusion
Weili Liu's contributions to the field of binary dot matrix code identification exemplify his commitment to innovation and technology advancement. His patent and collaborative efforts highlight the importance of research in enhancing industrial processes.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile