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.

A lumber culling system may include a carriage with a distal wall and a proximal wall spaced apart from one another to form an interior of the carriage. An aperture may extend through the distal wall and the proximal wall. The aperture is sized and shaped to allow a board of wood to pass through the distal wall and the proximal wall. Further, the interior of the carriage is visible within the aperture. Imaging equipment may be disposed within the interior of the carriage and arranged to scan a portion of each side of the board of wood that is positioned within the aperture. The carriage may be moved along a length of the board of wood while the board of wood is at rest on static datum supports.

Method and apparatus for capturing an image of a lateral face of a wooden board, where the lateral face (2) is parallel to a main axis of development of the wooden board (3), with the method comprising a step for feeding the wooden board (3) with the lateral face (2) transverse to a feeding direction (4), a step for illuminating the lateral face (2), a step for capturing, using a plurality of area scan cameras (9), a plurality of first digital images at different times, where each first digital image comprises a portion (10) of the lateral face (2) extending for an entire height of the lateral face (2) transverse to the main axis of development and for part of a length of the lateral face (2) along the main axis of development, where the set of all such portions (10) corresponds to the entire lateral face (2), and a merging step for merging the first digital images using an electronic processing unit to obtain a second digital image showing the entire lateral face (2).

A computer implemented method is disclosed herein for monitoring and determining a quality level of incoming raw material from one or more sources. The method includes (1) receiving visual data associated with the incoming raw material; (2) determining an indication of quality level associated with the incoming raw material; and (3) transmitting, to at least one of a graphical user interface (GUI) and a computer log, the indication of quality level and at least one timestamp associated with the visual data. The visual data may include a plurality of images received from one or more cameras configured for monitoring the incoming raw material. A related system is also disclosed herein.

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.

The present invention relates to a system for repairing a plywood panel, the system comprising: at least one detection device for scanning the plywood panel; at least one repairing device for performing a repair operation for the plywood panel; a conveyor device for conveying the plywood panel; and a control device for generating at least one control signal to the conveyor device to halt the plywood panel in the system for performing a scanning operation of the plywood panel with the at least one detection device and to halt the plywood panel for performing a repairing operation with the at least one repairing device on the basis of information obtained with the detection device. Some aspects of the invention relate to a method for performing the repair operation.

A system for maintaining alignment of a press plate is provided. The system comprises: a press including a press plate, the press configured for forming a laminate comprising a decorative layer and a substrate; a camera; and a processing device configured to: retrieve a laminate design file comprising a decorative design drawing layer and a texture design drawing layer, the laminate design file illustrating the decorative design drawing layer overlaid with the texture design drawing layer; following manufacture of the laminate with the press, capture an image of the laminate with the camera; compare a portion of the captured image of the laminate to a corresponding portion of the laminate design file to determine a registration quality; based on the determined registration quality, determine a misalignment of the decorative layer with the press plate; and in response to determining the misalignment, trigger an alert.

A device for evaluating the condition of a wooden structure, including: a shaft; a distance sensor coupled to the shaft; and an image capture device coupled to the shaft, the distance sensor being configured to measure a location of the image capture device in the wooden structure.

A load scanning apparatus for taking physical measurements from a load. The load scanning apparatus has a scanning robot including a plurality of sensors arranged in an array spanning substantially across at least one load dimension in a first direction. The array of sensors moves together in a second direction, in a scanning plane. The plurality of sensors are configured to take images of the load from the scanning plane, and are configured to capture distance information about the distance of said load from the scanning plane.

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.