METHOD AND SYSTEM TO DETERMINE STRENGTH OF DRY WOOD PRODUCTS USING NEAR INFRARED IMAGING
Near InfraRed NIR technology, including NIR cameras and detectors, is used to accurately identify moisture content, the specific locations of the moisture on an entire surface of a dry veneer sheet or other wood product, and the strength of the dry veneer sheet or other wood product. Based on the identified moisture content and/or predicted strength for a dry veneer sheet or other wood product, one or more actions are taken with respect to dry veneer sheet or other wood product to ensure the dry veneer sheet or other wood product is put the most efficient, effective, and valuable use.
1 . A method for determining strength of dry wood products comprising:
generating strength analysis models and/or mechanical properties model data for dry wood products;
providing a NIR dry wood product strength analysis system, including at least one NIR dry wood product strength analysis station;
analyzing a dry wood product using the NIR dry wood product strength analysis station; and
assigning a grade to the dry wood product based, at least in part, on the analysis of the dry wood product using the NIR dry wood product strength analysis station.
2 . The method of claim 1 wherein the dry wood product is a dry veneer sheet.
3 . The method of claim 2 wherein analyzing a dry veneer sheet using the NIR dry wood product strength analysis station includes:
passing the dry veneer sheet through the NIR dry wood product strength analysis station;
illuminating the dry veneer sheet with one or more illumination sources;
obtaining NIR reflectance spectrum data for the illuminated dry veneer sheet using one or more NIR/SWIR cameras;
processing the NIR reflectance spectrum data using the strength analysis models and/or mechanical properties model data for dry wood products; and
assigning a grade to the dry veneer sheet based, at least in part, on the analysis of the dry veneer sheet using the NIR dry wood product strength analysis station.
4 . The method of claim 2 wherein the one or more sources of illumination include one or more LED light sources.
5 . The method of claim 2 wherein the one or more illumination sources operate at a reduced spectral range of 650 and 1050 nm.
6 . The method of claim 2 further comprising:
taking one or more actions with respect to the dry veneer sheets based, at least in part, on the grade assigned to the dry veneer sheets.
7 . The method of claim 6 wherein the one or more actions taken with respect to the dry veneer sheets include:
sorting the dry wood product/veneer sheets into a bin, location or stack associated with the assigned grade;
restricting the use of the dry wood product/veneer sheets based on the grade assigned to the dry wood product/veneer sheets;
rejecting the dry wood product/veneer sheets based on the grade assigned to the dry wood product/veneer sheets;
sending the dry wood product/veneer sheets back for further processing based on the grade assigned to the dry wood product/veneer sheets;
adjusting one or more processing parameters of a production line based, at least in part, on the grade assigned to the dry wood product/veneer sheets; and
selecting a type and amounts of glues used on a production line based, at least in part, on grade assigned to the dry wood product/veneer sheets.
8 . The method of claim 2 further comprising:
generating a moisture level to greyscale mapping database, the moisture level to greyscale mapping database containing data that maps moisture level to Near InfraRed (NIR) image greyscale values for one or more wood products;
providing the dry veneer sheets to a NIR analysis station for detecting moisture levels in the dry veneer sheets, the NIR analysis station including one or more sources of illumination positioned to illuminate a surface of the dry veneer sheets, the NIR analysis station including one or more NIR cameras positioned to capture one or more NIR images of the illuminated surface of the dry veneer sheets;
positioning the dry veneer sheet to be analyzed in the NIR analysis station such that a first surface of the dry veneer sheet to be analyzed is illuminated by the one or more illumination sources;
capturing, using the one or more NIR cameras, one or more NIR images of the illuminated first surface of the dry veneer sheet;
processing the one or more NIR images of the illuminated first surface of the dry veneer sheet to generate NIR greyscale images indicating different moisture levels in the illuminated first surface of the dry veneer sheet;
processing the NIR greyscale images using the moisture level to greyscale mapping database to identify moisture levels for the first surface of the dry veneer sheet;
assigning a grade to the dry veneer sheet based on the identified moisture levels for the first surface of the dry veneer sheet; and
based, at least in part, on the grade assigned to the dry veneer sheet, taking one or more actions with respect to the dry veneer sheet.
9 . The method of claim 8 wherein the one or more actions taken with respect to the dry veneer sheets include:
sorting the dry veneer sheets into a bin, location or stack associated with the assigned grade;
restricting the use of the dry veneer sheets based on the grade assigned to the dry veneer sheets;
rejecting the dry veneer sheets based on the grade assigned to the dry veneer sheets;
sending the dry veneer sheets back for further processing based on the grade assigned to the dry veneer sheets;
adjusting one or more processing parameters of a production line based, at least in part, on the grade assigned to the dry veneer sheets; and
selecting a type and amounts of glues used on a production line based, at least in part, on grade assigned to the dry veneer sheets.
10 . A method comprising:
generating a moisture level to greyscale mapping database, the moisture level to greyscale mapping database containing data that maps moisture level to Near InfraRed (NIR) image greyscale values for dry veneer sheets;
providing the dry veneer sheets to a NIR analysis station for detecting moisture levels in the dry veneer sheets, the NIR analysis station including one or more sources of illumination positioned to illuminate a surface of the dry veneer sheets, the NIR analysis station including one or more NIR cameras positioned to capture one or more NIR images of the illuminated surface of the dry veneer sheets;
positioning the dry veneer sheet to be analyzed in the NIR analysis station such that a first surface of the dry veneer sheet to be analyzed is illuminated by the one or more illumination sources;
capturing, using the one or more NIR cameras, one or more NIR images of the illuminated first surface of the dry veneer sheet;
processing the one or more NIR images of the illuminated first surface of the dry veneer sheet to generate NIR greyscale images indicating different moisture levels in the illuminated first surface of the dry veneer sheet;
processing the NIR greyscale images using the moisture level to greyscale mapping database to identify moisture levels for the first surface of the dry veneer sheet;
generating strength analysis models and/or mechanical properties model data for dry wood products;
providing a NIR dry wood product strength analysis system, including at least one NIR dry wood product strength analysis station;
analyzing the dry veneer sheet using the NIR dry wood product strength analysis station;
assigning a grade to the dry veneer sheet based, at least in part, on the analysis of the dry veneer sheet using the NIR analysis station and NIR dry wood product strength analysis station; and
based, at least in part, on the grade assigned to the dry veneer sheet, taking one or more actions with respect to the dry veneer sheet.
11 . The method of claim 10 wherein analyzing a dry veneer sheet using the NIR dry wood product strength analysis station includes:
passing the dry veneer sheet through the NIR dry wood product strength analysis station;
illuminating the dry veneer sheet with one or more illumination sources;
obtaining NIR reflectance spectrum data for the illuminated dry veneer sheet using one or more NIR/SWIR cameras;
processing the NIR reflectance spectrum data using the strength analysis models and/or mechanical properties model data for dry wood products; and
assigning a grade to the dry veneer sheet based, at least in part, on the analysis of the dry veneer sheet using the NIR dry wood product strength analysis station.
12 . The method of claim 11 wherein the one or more sources of illumination include one or more LED light sources.
13 . The method of claim 11 wherein the one or more illumination sources operate at a reduced spectral range of 650 and 1050 nm.
14 . The method of claim 11 further comprising:
taking one or more actions with respect to the dry veneer sheets based, at least in part, on the grade assigned to the dry veneer sheets.
15 . The method of claim 14 wherein the one or more actions taken with respect to the dry veneer sheets include:
sorting the dry wood product/veneer sheets into a bin, location or stack associated with the assigned grade;
restricting the use of the dry wood product/veneer sheets based on the grade assigned to the dry wood product/veneer sheets;
rejecting the dry wood product/veneer sheets based on the grade assigned to the dry wood product/veneer sheets;
sending the dry wood product/veneer sheets back for further processing based on the grade assigned to the dry wood product/veneer sheets;
adjusting one or more processing parameters of a production line based, at least in part, on the grade assigned to the dry wood product/veneer sheets; and
selecting a type and amounts of glues used on a production line based, at least in part, on grade assigned to the dry wood product/veneer sheets.
16 . A system for determining strength of dry wood products comprising:
strength analysis models and/or mechanical properties model data for dry wood products;
a NIR dry wood product strength analysis system, including at least one NIR dry wood product strength analysis station;
a dry wood product, the dry wood product being provided to the NIR dry wood product strength analysis station to be analyzed using the NIR dry wood product strength analysis station; and
dry wood product grade data assigned to the dry wood product based, at least in part, on the analysis of the dry wood using the NIR dry wood product strength analysis station.
17 . The system of claim 16 wherein the dry wood product is a dry sheet of veneer.
18 . The system of claim 17 wherein the dry veneer sheet is analyzed using the NIR dry wood product strength analysis station by:
passing the dry veneer sheet through the NIR dry wood product strength analysis station;
illuminating the dry veneer sheet with one or more illumination sources;
obtaining NIR reflectance spectrum data for the illuminated dry veneer sheet using one or more NIR/SWIR cameras;
processing the NIR reflectance spectrum data using the strength analysis models and/or mechanical properties model data for dry wood products; and
grade data is generated representing a grade assigned to dry veneer sheet based, at least in part, on the analysis of the dry veneer sheet using the NIR dry wood product strength analysis station.
19 . The system of claim 16 wherein the one or more sources of illumination include one or more LED light sources.
20 . The system of claim 16 wherein the one or more illumination sources operate at a reduced spectral range of 650 and 1050 nm.