Reston, VA, United States of America

Xiangyu Xiao


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 121(Granted Patents)


Company Filing History:


Years Active: 1999

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1 patent (USPTO):Explore Patents

Title: Xiangyu Xiao - Innovator in Lumber Defect Detection Technology

Introduction

Xiangyu Xiao is a prominent inventor based in Reston, Virginia. She has made significant contributions to the field of machine vision systems, particularly in the lumber industry. Her innovative approach addresses various inspection challenges faced by lumber processing.

Latest Patents

Xiangyu Xiao holds a patent for a defect detection system for lumber. This advanced machine vision system effectively tackles multiple inspection problems related to boards, lineals, cants, and flitches. The system incorporates various sensors to detect surface features, three-dimensional shapes, and internal characteristics. It utilizes two color cameras for surface imaging, a high-speed laser profiling device for shape detection, and an x-ray scanning system for internal feature analysis. The system processes materials in a species-independent manner, employing a histogram-based segmentation procedure to analyze both camera and x-ray imagery. It can detect small defects by filtering out the effects of larger features, enhancing overall accuracy through redundant information from multiple sensors.

Career Highlights

Xiangyu Xiao has worked with notable institutions, including Virginia Polytechnic and State University and the United States of America as represented by the Secretary of. Her work has significantly advanced the capabilities of defect detection in lumber processing.

Collaborations

Xiangyu has collaborated with esteemed colleagues such as Richard W. Conners and David E. Kline. Their combined expertise has contributed to the development of innovative solutions in the field.

Conclusion

Xiangyu Xiao's contributions to lumber defect detection technology exemplify her innovative spirit and dedication to improving industry standards. Her patent showcases the potential of machine vision systems in enhancing quality control processes.

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