A computer-assisted shingle sawing method for recovery optimization using a 0-1 defect relative to the clear line, comprising the steps of taking an image of a next slab to be cut from a wood block; defining from that image, a clear line there-across; and locations of defect on that slab relative to the clear line, determining edge lines of shingles recoverable from the slab according to optimal shingle grade recovery; sawing the next slab along these edge lines, and sawing the next slab from the wood block, thereby releasing an optimum recovery of shingles from the slab. In another aspect there is provided a method for shingle recovery optimization using an optimization by inversion strategy, wherein the inclination of a parting line for cutting the next slab from the wood block is determined for optimal shingle grade recovery. There is also provided an installation for carrying out these methods.

In various embodiments, a scanner optimizer system may generate a virtual model of a predicted flitch based on a 3D model of a log/cant and a cut solution for the log/cant. The scanner optimizer system may compare a virtual model of an actual flitch to virtual models of predicted flitches by comparing data points at a fixed elevation relative to one or both faces of the models. Based on the comparisons, the scanner optimizer system may identify the source log from which the actual flitch was cut. In addition, the scanner optimizer system may identify the saw used to cut the actual flitch, and/or other relevant information, and use the additional information to monitor and adjust the saws and other equipment. Embodiments of corresponding apparatuses and methods are also described.

In various embodiments, a scanner optimizer system may generate a virtual model of a predicted flitch based on a 3D model of a log/cant and a cut solution for the log/cant. The scanner optimizer system may compare a virtual model of an actual flitch to virtual models of predicted flitches by comparing data points at a fixed elevation relative to one or both faces of the models. Based on the comparisons, the scanner optimizer system may identify the source log from which the actual flitch was cut. In addition, the scanner optimizer system may identify the saw used to cut the actual flitch, and/or other relevant information, and use the additional information to monitor and adjust the saws and other equipment. Embodiments of corresponding apparatuses and methods are also described.

A clamp extension device adapted to extend the size range of materials that may be cut by a sawmill, the device being removably attachable to an existing clamp on the sawmill.

A clamp extension device adapted to extend the size range of materials that may be cut by a sawmill, the device being removably attachable to an existing clamp on the sawmill.

A computer-assisted shingle sawing method for recovery optimization using a 0-1 defect relative to the clear line, comprising the steps of taking an image of a next slab to be cut from a wood block; defining from that image, a clear line there-across; and locations of defect on that slab relative to the clear line, determining edge lines of shingles recoverable from the slab according to optimal shingle grade recovery; sawing the next slab along these edge lines, and sawing the next slab from the wood block, thereby releasing an optimum recovery of shingles from the slab. In another aspect there is provided a method for shingle recovery optimization using an optimization by inversion strategy, wherein the inclination of a parting line for cutting the next slab from the wood block is determined for optimal shingle grade recovery. There is also provided an installation for carrying out these methods.

A computer-assisted shingle sawing method for recovery optimization using a 0-1 defect relative to the clear line, comprising the steps of taking an image of a next slab to be cut from a wood block; defining from that image, a clear line there-across; and locations of defect on that slab relative to the clear line, determining edge lines of shingles recoverable from the slab according to optimal shingle grade recovery; sawing the next slab along these edge lines, and sawing the next slab from the wood block, thereby releasing an optimum recovery of shingles from the slab. In another aspect there is provided a method for shingle recovery optimization using an optimization by inversion strategy, wherein the inclination of a parting line for cutting the next slab from the wood block is determined for optimal shingle grade recovery. There is also provided an installation for carrying out these methods.

Embodiments provide grade annunciator systems that allow a lumber workpiece traveling in a workflow path to be labeled with a projected image that conveys information about the grade, a cut line, and/or the location of a defect in the workpiece. In some embodiments, the system includes a conveyor configured to convey lumber workpieces in a workflow path, and a projector or series of projectors configured to project an image or symbol onto a surface of the workpiece, wherein the image or symbol indicates grade, a cut line, and/or the location of a defect in the workpiece. Other embodiments are methods of labeling a lumber workpiece in a workflow path, the methods includes conveying the lumber workpiece along the workflow path, and projecting an image or symbol onto a surface of the workpiece as it is conveyed along the workflow path.

Embodiments provide grade annunciator systems that allow a lumber workpiece traveling in a workflow path to be labeled with a projected image that conveys information about the grade, a cut line, and/or the location of a defect in the workpiece. In some embodiments, the system includes a conveyor configured to convey lumber workpieces in a workflow path, and a projector or series of projectors configured to project an image or symbol onto a surface of the workpiece, wherein the image or symbol indicates grade, a cut line, and/or the location of a defect in the workpiece. Other embodiments are methods of labeling a lumber workpiece in a workflow path, the methods includes conveying the lumber workpiece along the workflow path, and projecting an image or symbol onto a surface of the workpiece as it is conveyed along the workflow path.

Embodiments provide methods, apparatuses, and systems for cutting wood workpieces, such as logs and cants, into desired products. In various embodiments, after a log is chipped into a cant, the cant may be scanned and re-optimized based on the new scan data and information about the source log, such as simulated orientation parameters, a 3D model, and/or potential cut solutions. In other embodiments, data from multiple sensor types may be used in combination to detect splits in logs, cants, or both. Optionally, re-optimization and split detection techniques may be used in combination to improve wood volume recovery, value, and/or throughput speed.