This inventor holds 1 USPTO granted patent. Top assignees: Iangxi Electric Power Research Institute of State Grid, Jiangxi Normal University. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023
Title: Zhixiang Deng: Innovator in Distribution Network Equipment Recognition
Introduction
Zhixiang Deng is a notable inventor based in Nanchang, China. He has made significant contributions to the field of distribution network equipment recognition. His innovative approach utilizes advanced technology to enhance the efficiency of equipment detection.
Latest Patents
Zhixiang Deng holds a patent for a method titled "Method for recognizing distribution network equipment based on Raspberry Pi multi-scale feature fusion." This method involves obtaining an initial sample data set and constructing an object detection network that includes an EfficientNet-B0 backbone network, a multi-scale feature fusion module, and a regression classification prediction head. The network is trained using the initial sample data set, allowing for effective detection of inspection pictures. The lightweight EfficientNet-B0 backbone network enhances feature extraction, while the multi-scale feature fusion adapts well to small object detection. This method is particularly effective when deployed on Raspberry Pi embedded equipment, which has limited resources and computing power.
Career Highlights
Zhixiang Deng has worked at the Jiangxi Electric Power Research Institute of State Grid and Jiangxi Normal University. His experience in these institutions has contributed to his expertise in the field of electrical engineering and technology.
Collaborations
Some of his notable coworkers include Wenbin Wang and Ruixiang Fan. Their collaboration has likely fostered innovation and development in their respective projects.
Conclusion
Zhixiang Deng's work in the field of distribution network equipment recognition showcases his innovative spirit and technical expertise. His contributions are paving the way for advancements in efficient equipment detection methods.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile