A method includes: receiving a recycled wood workpiece populated with a set of metal fasteners; accessing an internal imaging scan; detecting the set of metal fasteners embedded in the recycled wood workpiece based on internal features detected in the internal imaging scan; for each metal fastener in the set of metal fasteners, extracting an initial position and an initial orientation of the metal fastener from the internal imaging scan; generating a virtual model of the recycled wood workpiece based on the internal imaging scan; accessing an image captured by an optical sensor; detecting a first metal fastener in the recycled wood workpiece; deriving a first position and a first orientation of the first metal fastener; and, in response to identifying the first metal fastener analogous to an initial metal fastener in the virtual model, isolating the first metal fastener in the virtual model and generating a fastener removal schedule.

An automated inline rip saw system utilizing x-ray and optical scanning techniques to identify and detect flaws within a piece of wood. The present system may further utilize a precision skewing unit which may reduce or eliminate errors while allowing for precision rip cuts to be performed. Further, the present automated inline rip saw system may utilize multiple independently controlled saw blades to perform precision cuts. Finally, the present inline rip saw system may allow for more accurate detection of flaws or undesirable inclusions within the wood earlier in the wood production process, including the ability to scan for, identify, and remove sap wood from green lumber.

An automated inline rip saw system utilizing x-ray and optical scanning techniques to identify and detect flaws within a piece of wood. The present system may further utilize a precision skewing unit which may reduce or eliminate errors while allowing for precision rip cuts to be performed. Further, the present automated inline rip saw system may utilize multiple independently controlled saw blades to perform precision cuts. Finally, the present inline rip saw system may allow for more accurate detection of flaws or undesirable inclusions within the wood earlier in the wood production process, including the ability to scan for, identify, and remove sap wood from green lumber.

An automated inline rip saw system utilizing x-ray and optical scanning techniques to identify and detect flaws within a piece of wood. The present system may further utilize a precision skewing unit which may reduce or eliminate errors while allowing for precision rip cuts to be performed. Further, the present automated inline rip saw system may utilize multiple independently controlled saw blades to perform precision cuts. Finally, the present inline rip saw system may allow for more accurate detection of flaws or undesirable inclusions within the wood earlier in the wood production process, including the ability to scan for, identify, and remove sap wood from green lumber.