Shenzhen, China

Dewei Zeng


Average Co-Inventor Count = 3.7

ph-index = 1


Company Filing History:


Years Active: 2020-2021

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2 patents (USPTO):Explore Patents

Title: Dewei Zeng: Innovator in License Plate Recognition Technology

Introduction

Dewei Zeng is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of image processing and recognition technology. With a focus on developing advanced methods for license plate recognition, Zeng has secured a total of 2 patents that showcase his innovative approach.

Latest Patents

Zeng's latest patents include a "License Plate Recognition Method, Device Thereof, and User Equipment." This patent outlines a comprehensive method for recognizing license plates using convolutional neural networks (CNNs). The process involves acquiring a vehicle image, searching for vehicles, and subsequently identifying license plates through a series of neural network inputs. The final output is a license plate number in the format of 'area number letter number.' Another notable patent is the "Method for Processing Tensor Data for Pattern Recognition and Computer Device." This invention focuses on constructing a decision function for predicting tensor data, enhancing the efficiency of pattern recognition.

Career Highlights

Throughout his career, Dewei Zeng has worked with esteemed organizations such as the Shenzhen Institute of Advanced Technology and the Shenzhen Institutes of Advanced Technology. His work in these institutions has allowed him to refine his skills and contribute to groundbreaking research in technology.

Collaborations

Zeng has collaborated with notable professionals in his field, including Shuqiang Wang and Yanyan Shen. These collaborations have fostered an environment of innovation and have led to advancements in the technologies they have developed together.

Conclusion

Dewei Zeng's contributions to license plate recognition technology and pattern recognition methods highlight his role as a leading inventor in the field. His innovative patents and collaborations reflect his commitment to advancing technology and improving recognition systems.

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