Lucidyne Technologies, Inc.

Joseph H Weintraub

Patrick S Freeman

Hayden Michael Aronson

Ryan T Shear

Revathy Priyanga Narasimhan

Chris Mosbrucker

Dan Robin

Kevin Johnsrude

Eric N Mortensen

George M Carman

William J Briskey

Paul Shirkey

Aaron R Paul

Revathy Narasimhan

David D Ayers

David K Christopher

Chad D Gibson

Michael Hayden Aronson

Patrick Freeman

A method of board lumber grading is performed in an industrial environment on a machine learning framework 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 uses deep learning techniques that are applied to semantic segmentation to delineate board lumber characteristics, including their sizes and boundaries.

Board lumber grading using deep learning semantic segmentation techniques

Method of board lumber grading using deep learning techniques

A grain angle sensor system for measuring grain angle direction of surface fibers of a wood object with respect to at least one of a surface plane direction or a transverse direction, such as a dive angle, or with respect to both the surface plane and transverse direction. The system includes multiple laser diodes and photosensor detectors integrated into an electro-optical assembly that can sequence the firing of the lasers to minimize crosstalk. An exemplary assembly includes an enclosure housing an electronic control board connected to circuit cards containing multiple laser diodes and multiple photosensor detectors.

Grain angle sensor

Growing community of inventors

Eugene, OR, United States of America

Joseph H Weintraub