Bedford, MA, United States of America

Xianju Wang

USPTO Granted Patents = 5 

 

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2015-2022

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5 patents (USPTO):Explore Patents

Title: Xianju Wang: Innovator in Two-Dimensional Matrix Symbol Decoding

Introduction

Xianju Wang is a notable inventor based in Bedford, MA (US). He has made significant contributions to the field of data reading algorithms, particularly in the decoding of two-dimensional matrix symbols. With a total of 5 patents, his work has advanced the capabilities of data interpretation in various applications.

Latest Patents

Wang's latest patents focus on systems and methods for decoding two-dimensional matrix symbols with incomplete or absent fixed patterns. These innovations include a data reading algorithm that receives an image, locates data modules within the image without relying on a fixed pattern, and fits a model of the module positions. The algorithm extrapolates the model to predict module positions, determines module values from the image, and extracts a binary matrix from these values. This technology enhances the reliability and efficiency of reading matrix symbols in diverse environments.

Career Highlights

Throughout his career, Xianju Wang has worked with prominent companies such as Cognex Corporation and Drägerwerk AG & Co. KGaA. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking innovations in the field of data reading technologies.

Collaborations

Wang has collaborated with talented individuals in his field, including Xiangyun Ye and James A. Negro. These partnerships have fostered a creative environment that has led to the development of advanced technologies in matrix symbol decoding.

Conclusion

Xianju Wang's contributions to the field of two-dimensional matrix symbol decoding demonstrate his innovative spirit and technical expertise. His patents and collaborations reflect a commitment to advancing technology in data interpretation.

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