This inventor holds 1 USPTO granted patent. Top assignee: All Winner Technology Company, Limited. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Nan Nan - Innovator in Attention Detection Technology
Introduction
Nan Nan is a prominent inventor based in Guangdong, China. He has made significant contributions to the field of technology, particularly in the area of attention detection methods. His innovative approach combines advanced neural network techniques to enhance the accuracy and efficiency of attention detection systems.
Latest Patents
Nan Nan holds a patent for a "Cascaded neural network-based attention detection method, computer device, and computer-readable storage medium." This invention provides a method that includes obtaining video data, recognizing multiple image frames, and extracting face regions from these frames. The method utilizes a first convolutional neural network to determine if a situation of inattention occurs. If no inattention is detected, a second convolutional neural network is employed to further assess attention levels. The computational complexity of the first network is designed to be less than that of the second, optimizing performance.
Career Highlights
Nan Nan is currently employed at All Winner Technology Company, Limited, where he continues to develop innovative technologies. His work focuses on enhancing machine learning applications and improving user interaction through advanced detection methods. His dedication to research and development has positioned him as a key figure in his field.
Collaborations
Nan Nan collaborates with talented colleagues, including Xiaohui Li and Gang Peng. Together, they work on various projects that push the boundaries of technology and innovation.
Conclusion
Nan Nan's contributions to attention detection technology exemplify the impact of innovative thinking in the tech industry. His work not only advances the field but also sets a foundation for future developments in machine learning and artificial intelligence.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
