The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 13, 2022

Filed:

Nov. 18, 2019
Applicant:

Boise Cascade Company, Boise, ID (US);

Inventors:

David Bolton, Lena, LA (US);

Jude Richard Peek, Pineville, LA (US);

Curtis Fennell, Boyce, LA (US);

Assignee:

Boise Cascade Company, Boise, ID (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G01J 5/02 (2022.01); G01N 21/3559 (2014.01); G01N 21/359 (2014.01); G01N 21/86 (2006.01); G06T 7/00 (2017.01); G06T 7/90 (2017.01); F26B 25/22 (2006.01); G01N 33/46 (2006.01); H04N 5/33 (2006.01); H04N 5/225 (2006.01); H04N 5/247 (2006.01); G01N 21/17 (2006.01);
U.S. Cl.
CPC ...
G01N 21/3559 (2013.01); F26B 25/22 (2013.01); G01N 21/359 (2013.01); G01N 21/86 (2013.01); G01N 33/46 (2013.01); G06T 7/001 (2013.01); G06T 7/0004 (2013.01); G06T 7/90 (2017.01); H04N 5/2256 (2013.01); H04N 5/247 (2013.01); H04N 5/33 (2013.01); F26B 2210/14 (2013.01); G01N 2021/1765 (2013.01); G01N 2021/8663 (2013.01); G01N 2201/062 (2013.01); G06T 2207/10048 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20212 (2013.01); G06T 2207/30161 (2013.01);
Abstract

Near InfraRed NIR technology, including NIR cameras and detectors, and machine learning methods and systems, including one or more Machine Learning (ML) based moisture level detection models, are used to accurately identify moisture content and the specific locations of the moisture on an entire surface of a veneer sheet or other wood product and provide moisture level prediction data for the veneer sheet or other wood product. Based on the moisture level prediction data for a given wood product, one or more actions are taken with respect to wood product to ensure the wood product is put to the most efficient, effective, and valuable use.


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