Tianjin, China

Yuze Wang


Average Co-Inventor Count = 15.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Yuze Wang: Innovator in Crowd Movement Calculation

Introduction

Yuze Wang is a notable inventor based in Tianjin, China. He has made significant contributions to the field of crowd movement analysis through his innovative patent. His work focuses on enhancing the understanding of regional crowd dynamics, which is crucial for various applications, including urban planning and event management.

Latest Patents

Yuze Wang holds a patent titled "System and method for calculating regional crowd movement." This patent describes a system designed to monitor and calculate crowd movement in a specific area. The system utilizes radio frequency labels attached to pedestrians, calculation apparatuses located at key travel nodes, and directional antennas. The antennas send and receive signals from the radio frequency labels, allowing the calculation apparatus to analyze the tempo-spatial distribution of crowd movement in the monitored region. This innovative approach provides valuable insights into crowd behavior and movement patterns.

Career Highlights

Throughout his career, Yuze Wang has worked with prominent companies, including China Construction First Group Corporation Limited and China Construction First Group Huabei Construction Co., Ltd. His experience in these organizations has allowed him to apply his innovative ideas in practical settings, contributing to the development of advanced crowd monitoring systems.

Collaborations

Yuze Wang has collaborated with talented individuals such as Lei Chen and Wei Xu. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.

Conclusion

Yuze Wang's contributions to the field of crowd movement calculation demonstrate his innovative spirit and dedication to improving urban monitoring systems. His patent and collaborative efforts highlight the importance of understanding crowd dynamics in today's rapidly evolving environments.

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