This inventor holds 1 USPTO granted patent. Top assignee: Shandong Yingxin Computer Technologies Co., Ltd.. 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: Fancheng Meng: Innovator in Object Recognition Technology.
Introduction
Fancheng Meng is a prominent inventor based in Jinan, China. He has made significant contributions to the field of object recognition technology. His innovative work has led to the development of a patented method that enhances the capabilities of machine learning and artificial intelligence.
Latest Patents
Fancheng Meng holds a patent for an "Object recognition method and apparatus, and device and medium." This patent discloses a method that involves extracting pre-selected feature information of objects to be recognized using a convolutional layer in a convolutional neural network. The method includes dimension reduction processing on the feature information, processing it through a fully connected layer, and performing comparative analysis to output recognition results. This innovative approach significantly improves the accuracy and efficiency of object recognition systems.
Career Highlights
Fancheng Meng is associated with Shandong Yingxin Computer Technologies Co., Ltd., where he applies his expertise in computer technologies. His work at the company focuses on advancing the field of artificial intelligence and machine learning. With a patent count of 1 patent, he continues to push the boundaries of technology.
Collaborations
Fancheng has collaborated with notable colleagues, including Hongliang Wang and Qi Mou. Their combined efforts contribute to the innovative projects at Shandong Yingxin Computer Technologies Co., Ltd.
Conclusion
Fancheng Meng's contributions to object recognition technology exemplify the impact of innovation in the field of artificial intelligence. His patented methods pave the way for future advancements in machine learning applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile