Chongqing, China

Sheng Xiang

USPTO Granted Patents = 1 

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Innovations of Sheng Xiang in Gear Detection Technology.

Introduction

Sheng Xiang is an accomplished inventor based in Chongqing, China. He has made significant contributions to the field of computer visual detection, particularly in the development of advanced detection devices for mechanical components. His innovative work focuses on enhancing the efficiency and accuracy of gear pitting detection.

Latest Patents

Sheng Xiang holds a patent for a "Binocular automatic gear pitting detection device based on deep learning." This invention integrates a gearbox system, data acquisition system, image processing system, tooth surface positioning system, control system, and motor. The device is designed to install paired meshing gears and utilizes a CCD industrial camera for data acquisition. The image processing system employs deep learning technology to perform quantitative evaluations of gear pitting and target detection. This innovative device optimizes installation space and adapts to the operational characteristics of meshing gears.

Career Highlights

Sheng Xiang is affiliated with Chongqing University, where he continues to advance his research and development efforts. His work has garnered attention for its practical applications in the manufacturing and engineering sectors. With a focus on deep learning and computer vision, he is at the forefront of technological advancements in gear detection.

Collaborations

Sheng Xiang collaborates with notable colleagues, including Yi Qin and Dejun Xi. Their combined expertise contributes to the success of their projects and enhances the research output at Chongqing University.

Conclusion

Sheng Xiang's innovative contributions to gear detection technology exemplify the intersection of engineering and artificial intelligence. His work not only advances the field but also sets a foundation for future developments in automated detection systems.

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