METHOD AND SYSTEM FOR MOISTURE GRADING WOOD PRODUCTS USING SUPERIMPOSED NEAR INFRARED AND VISUAL IMAGES

    公开(公告)号:US20200175670A1

    公开(公告)日:2020-06-04

    申请号:US16687369

    申请日:2019-11-18

    Inventor: David Bolton

    Abstract: Near InfraRed NIR technology, including NIR cameras and detectors, and one or more visual cameras are used to generate superimposed image data representing a visual/NIR composite image of wood product and correlating moisture levels with physical features of the surfaces of the wood product. By analyzing the visual/NIR composite image represented by superimposed image data, moisture pockets near an open physical feature that, absent the presence open physical feature would be a problem, can be identified and ignored. Based on the identified moisture levels at various locations in a given wood product, and the proximity of physical features to the identified moisture locations, 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.

    METHOD AND SYSTEM FOR LAYERED WOOD PRODUCT PRODUCTION

    公开(公告)号:US20220161454A1

    公开(公告)日:2022-05-26

    申请号:US17100498

    申请日:2020-11-20

    Inventor: David Bolton

    Abstract: A method and system for production of layered wood products employs local and independently operating robotic panel assembly cells including one or more veneer handling robots, one or more core handling robots, and one or more glue application robots to produce stacks of layered wood product panels locally near the pressing stations. Consequently, the stacks of layered wood product panels are independently built at, or near, the location of the pressing stations. This eliminates the need for traditional panel conveyors, traditional layered wood product panel assembly layup lines, and stack press delivery lines. This, in turn, eliminates thousands of moving parts and dozens of people from the layered wood product production process.

    METHOD AND SYSTEM FOR DETECTING MOISTURE LEVELS IN WOOD PRODUCTS USING NEAR INFRARED IMAGING AND MACHINE LEARNING

    公开(公告)号:US20200173915A1

    公开(公告)日:2020-06-04

    申请号:US16687342

    申请日:2019-11-18

    Inventor: David Bolton

    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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