Company Filing History:
Years Active: 2020
Title: Kevin Johnsrude: Innovator in Board Lumber Grading Technology
Introduction
Kevin Johnsrude is an accomplished inventor based in Corvallis, OR (US). He has made significant contributions to the field of board lumber grading through innovative applications of deep learning techniques. With a total of 2 patents, his work is paving the way for advancements in industrial grading processes.
Latest Patents
Kevin's latest patents focus on methods of board lumber grading using deep learning semantic segmentation techniques. The first patent describes a method performed in an industrial environment on a machine learning framework. This framework is configured as an interface to a machine learning-based deep convolutional network that is trained end-to-end, pixels-to-pixels on semantic segmentation. The method utilizes deep learning techniques to delineate board lumber characteristics, including their sizes and boundaries. The second patent reiterates this innovative approach, emphasizing the application of deep learning techniques in the grading process.
Career Highlights
Kevin Johnsrude is currently associated with Lucidyne Technologies, Inc., where he continues to develop and refine his groundbreaking technologies. His work has garnered attention for its potential to enhance the efficiency and accuracy of lumber grading in industrial settings.
Collaborations
Some of Kevin's notable coworkers include Revathy Priyanga Narasimhan and Patrick S Freeman. Their collaborative efforts contribute to the innovative environment at Lucidyne Technologies, Inc.
Conclusion
Kevin Johnsrude's contributions to board lumber grading through deep learning techniques exemplify the intersection of technology and industry. His patents reflect a commitment to innovation that is likely to influence the future of lumber grading processes.