Invention Grant
- Patent Title: Method and system for detecting moisture levels in wood products using near infrared imaging and machine learning
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Application No.: US16687342Application Date: 2019-11-18
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Publication No.: US11442006B2Publication Date: 2022-09-13
- Inventor: David Bolton , Jude Richard Peek , Curtis Fennell
- Applicant: Boise Cascade Company
- Applicant Address: US ID Boise
- Assignee: Boise Cascade Company
- Current Assignee: Boise Cascade Company
- Current Assignee Address: US ID Boise
- Agency: Hawley Troxell Ennis & Hawley LLP
- Agent Philip McKay
- Main IPC: G01J5/02
- IPC: G01J5/02 ; G01N21/3559 ; G01N21/359 ; G01N21/86 ; G06T7/00 ; G06T7/90 ; F26B25/22 ; G01N33/46 ; H04N5/33 ; H04N5/225 ; H04N5/247 ; G01N21/17

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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