Abstract: A grain angle sensor system for measuring grain angle direction of surface fibers of a wood object with respect to at least one of a surface plane direction or a transverse direction, such as a dive angle, or with respect to both the surface plane and transverse direction. The system includes multiple laser diodes and photosensor detectors integrated into an electro-optical assembly that can sequence the firing of the lasers to minimize crosstalk. An exemplary assembly includes an enclosure housing an electronic control board connected to circuit cards containing multiple laser diodes and multiple photosensor detectors.

Abstract: A “Woodprint™” characterization and identification technique employs cameras (16), lighting (14), camera interface hardware (18), a computer (20), and/or image processing software to collect and analyze surface characteristics of pieces of wood (8) to track them through an automated production process in real-time with information that is specific to each wood piece (8), such as what machining is required, its value, and/or its destination. When a wood piece (8) reaches a point in the production process where a decision is required, its unique identity is used to retrieve appropriate information previously determined and assigned to the wood piece (8).

Abstract: A “Woodprint™” characterization and identification technique employs cameras (16), lighting (14), camera interface hardware (18), a computer (20), and/or image processing software to collect and analyze surface characteristics of pieces of wood (8) to track them through an automated production process in real-time with information that is specific to each wood piece (8), such as what machining is required, its value, and/or its destination. When a wood piece (8) reaches a point in the production process where a decision is required, its unique identity is used to retrieve appropriate information previously determined and assigned to the wood piece (8).

Abstract: A “woodprint™” characterization and identification technique unique employs cameras (16), lighting (14), camera interface hardware (18), a computer (20), and/or image processing software to collect and analyze surface characteristics of pieces of wood (8) to track them through an automated production process in real-time with information that is specific to each wood piece (8), such as what machining is required, its value, and/or its destination. When a wood piece (8) reaches a point in the production process where a decision is required, its unique identity is used to retrieve appropriate information previously determined and assigned to the wood piece (8).

Abstract: The present invention employs a blinded fiber-optic light illumination system (12) to illuminate a wood board (24) with a sharp projected light edge to detect the tracheid, color, and geometric characteristics of the lumber during an automated grading process. The light line (70) employs thousands of fibers (46) of desired length (58) and thickness (52). The fibers (46) are randomized such that fibers (46) neighboring each other in the cable (48) do not necessarily neighbor each other in the light line subunit (42) so that the emitted light has substantially uniform intensity over its spatial range. Multiple light line subunits (42) are positioned adjacent to one an other to achieve a desired light line length (60). A set of image sensors (22) in predetermined positions obtain three types of data from the light incident to the board (24). A computer analyzes the data to interpret the physical characteristics of the board (24) and determine how to grade or cut it.