Yuyu Weng

Title: Yuyu Weng: Innovator in Tunnel Dome Light Detection

Introduction

Yuyu Weng is a notable inventor based in Nanchang, China. He has made significant contributions to the field of fault detection methods, particularly in the context of tunnel dome lights. His innovative approach utilizes advanced neural network techniques to enhance the reliability and accuracy of tunnel lighting systems.

Latest Patents

Yuyu Weng holds a patent for a "Fault detection method and system for tunnel dome lights based on improved localization loss function." This patent describes a comprehensive method that includes constructing a dataset of tunnel dome light detection images. It involves acquiring a YOLO v5s neural network based on an improved localization loss function and training this network with the dataset. The trained network is then used to detect tunnel dome light images, providing position coordinates for luminous dome lights. This method allows for accurate localization and labeling of tunnel dome lights, enabling the detection of faults based on their positional relationships.

Career Highlights

Yuyu Weng is affiliated with East China Jiaotong University, where he contributes to research and development in innovative technologies. His work focuses on enhancing safety and efficiency in tunnel lighting systems through advanced detection methods. His expertise in neural networks and fault detection has positioned him as a key figure in this area of research.

Collaborations

Yuyu Weng collaborates with esteemed colleagues such as Gang Yang and Cailing Tang. Together, they work on various projects aimed at improving detection systems and advancing the field of tunnel safety.

Conclusion

Yuyu Weng's contributions to the field of fault detection for tunnel dome lights demonstrate his innovative spirit and commitment to enhancing safety in infrastructure. His work not only showcases his technical expertise but also highlights the importance of collaboration in driving advancements in technology.