This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: China University of Mining and Technology. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Innovations by Peng You in Infrared Thermal Image Detection
Introduction
Peng You is an accomplished inventor based in Xuzhou, China. He has made significant contributions to the field of infrared thermal image detection, particularly in the context of coal rock analysis. His innovative methods enhance the accuracy and efficiency of damage area detection in coal rock, which is crucial for mining and geological studies.
Latest Patents
Peng You holds a patent for a detection method for the infrared thermal image damage area of coal rock. This method involves several steps: first, collecting and recording the infrared thermal image of coal rock during the loading destruction process. Next, a gray-scale transformation is applied to the collected image. Following this, the infrared thermal image undergoes denoising using a dense residual image denoising algorithm of autocorrelation network. The denoised image is then segmented to extract eigenvalues using an improved encoder-decoder network specifically designed for coal-rock infrared thermal image damage area segmentation. Finally, the damage area of the coal rock is observed. This method significantly improves the denoising effect, enhances the extraction of damage area characteristics, and increases segmentation accuracy.
Career Highlights
Peng You is affiliated with the China University of Mining and Technology, where he continues to advance research in his field. His work is instrumental in developing innovative solutions that address challenges in coal rock analysis and detection.
Collaborations
He has collaborated with notable colleagues, including Xiaohu Zhao and He Tian, contributing to the advancement of research and innovation in their respective fields.
Conclusion
Peng You's contributions to infrared thermal image detection represent a significant advancement in the analysis of coal rock damage areas. His innovative methods not only improve accuracy but also enhance the overall efficiency of detection processes.