Yingjie Yan

Title: Innovations by Yingjie Yan

Introduction

Yingjie Yan is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of image processing and recognition. With a total of three patents to his name, his work focuses on enhancing the accuracy and efficiency of image registration and recognition systems.

Latest Patents

Yingjie Yan's latest patents include a heterogeneous image registration method and system. This method involves performing edge detection on collected images, utilizing a curvature scale space strategy to extract contour curved segments. It implements a feature point detection strategy based on global and local curvature, allowing for precise identification of feature points. The invention is noted for its remarkable accuracy and adaptability in the image registration scene of electric equipment.

Another significant patent is the high-precision identification method and system for substations. This invention builds a Mask RCNN object recognition network model based on convolutional neural networks. It improves the accuracy of image recognition for substations and plays a vital role in the development of automatic inspection equipment for inspection robots.

Career Highlights

Yingjie Yan is affiliated with Shanghai Jiao Tong University, where he continues to advance his research in image processing technologies. His work has garnered attention for its innovative approaches and practical applications in various fields.

Collaborations

Yingjie Yan has collaborated with notable colleagues, including Yadong Liu and Ling Pei. Their joint efforts have contributed to the development of advanced technologies in image recognition and processing.

Conclusion

Yingjie Yan's contributions to the field of image processing through his innovative patents demonstrate his commitment to advancing technology. His work not only enhances image registration methods but also significantly improves the accuracy of object recognition systems.