This inventor holds 1 USPTO granted patent. Top assignee: South China Normal University. Active years: 2022.
Company Filing History:
Years Active: 2022
Title: Innovations by Shangyuan Wang in Compressed Sensing Imaging Systems
Introduction
Shangyuan Wang is a notable inventor based in Guangzhou, China. He has made significant contributions to the field of imaging technology, particularly through his innovative work on compressed sensing based object imaging systems. His research focuses on enhancing image recognition and processing capabilities, which are crucial in various applications.
Latest Patents
Shangyuan Wang holds a patent for a "Compressed sensing based object imaging system and imaging method therefor." This invention includes a comprehensive system comprising a light source generation unit, a filter unit, an image generation unit, an image acquisition unit, and an image reconstruction unit. The system is designed to generate experimental laser light, filter high-frequency scattered light, and perform compression sampling on generated images. The imaging method established by Wang allows for the simultaneous completion of image sampling, compression, and recognition, significantly improving real-time performance in machine vision and artificial intelligence applications. He has 1 patent to his name.
Career Highlights
Wang is affiliated with South China Normal University, where he continues to advance his research in imaging technologies. His work has garnered attention for its potential to revolutionize how images are processed and recognized in real-time scenarios.
Collaborations
Shangyuan Wang has collaborated with colleagues Jun Li and Miao Lei, contributing to the development of innovative imaging solutions. Their combined expertise enhances the research output and application of their inventions.
Conclusion
Shangyuan Wang's contributions to compressed sensing imaging systems represent a significant advancement in the field of image processing. His innovative methods and systems pave the way for improved real-time applications in machine vision and artificial intelligence.