A method and system for detecting and controlling the quality of debarking at the surface of a wooden log provide information on main parameters related to the debarking quality of the log surface, including fiber loss and residual bark. The debarking quality detecting method and system involve measurement of three-dimensional profile of at least a portion of the log surface to generate corresponding profile image data, which is processed to generate data indicative of the texture of the log surface. The texture data is then analyzed to generate resulting data on the debarking quality parameters. That quality indicative information can be generated on a continuous basis to provide an objective assessment of the quality performance in real-time in view of target productivity, and may then be used to perform optimal adjustments of the debarker operating parameters, either manually by the operator or automatically through feedback control.

A method and system for detecting and controlling the quality of debarking at the surface of a wooden log provide information on main parameters related to the debarking quality of the log surface, including fiber loss and residual bark. The debarking quality detecting method and system involve measurement of three-dimensional profile of at least a portion of the log surface to generate corresponding profile image data, which is processed to generate data indicative of the texture of the log surface. The texture data is then analyzed to generate resulting data on the debarking quality parameters. That quality indicative information can be generated on a continuous basis to provide an objective assessment of the quality performance in real-time in view of target productivity, and may then be used to perform optimal adjustments of the debarker operating parameters, either manually by the operator or automatically through feedback control.

A sensor mount for use with a timber-working device includes a monolithic structure having a base portion configured to be secured to a frame of a timber-working device, and a sensor mounting portion including a cavity configured to receive a contactless sensor. The cavity has a sensor mounting surface for securing the contactless sensor thereto.

A sensor mount for use with a timber-working device includes a monolithic structure having a base portion configured to be secured to a frame of a timber-working device, and a sensor mounting portion including a cavity configured to receive a contactless sensor. The cavity has a sensor mounting surface for securing the contactless sensor thereto.

Disclosed herein are embodiments of batch-style bottom-discharge rotary debarkers for removing bark from a batch of logs in a bin and discharging debarked logs from a bottom of the bin. In some embodiments, the bin includes four walls and an opening in its bottom. In some embodiments, the debarkers include a plurality of rotors, a plurality of chutes, and a plurality of conveyor belt systems for carrying bark and logs away from the bin. In some embodiments, the debarkers include an internal gate which can be moved between a debarking configuration and an unloading configuration.

A method for characterizing undebarked wooden logs and computing optimal debarking parameters in real time is provided. The method comprises a scanning device upstream of a debarker for providing data, usually in the form of images, to a deep learning algorithm model. The model may be trained with human assistance or not to detect and identify, with an acceptable amount of certainty, characteristics of undebarked logs. The characteristics are used in an optimization software and classified in an index table. The index table is used to determine optimized parameters for debarking the log.

A method for characterizing undebarked wooden logs and computing optimal debarking parameters in real time is provided. The method comprises a scanning device upstream of a debarker for providing data, usually in the form of images, to a deep learning algorithm model. The model may be trained with human assistance or not to detect and identify, with an acceptable amount of certainty, characteristics of undebarked logs. The characteristics are used in an optimization software and classified in an index table. The index table is used to determine optimized parameters for debarking the log.

An elongate mount couples an insert to a feed roll via a proximal edge thereof. The proximal edge of the elongate mount faces both outwards in part and forwards in part. The elongate mount has a recessed region that is twisted in part. The insert is shaped to be received at least in part within and matingly engage with the elongate mount via the recessed region. The elongate mount is shaped to enclose the proximal edge, spaced-apart ends and backing fact of the insert.

An elongate mount couples an insert to a feed roll via a proximal edge thereof. The proximal edge of the elongate mount faces both outwards in part and forwards in part. The elongate mount has a recessed region that is twisted in part. The insert is shaped to be received at least in part within and matingly engage with the elongate mount via the recessed region. The elongate mount is shaped to enclose the proximal edge, spaced-apart ends and backing fact of the insert.

Clamp for limiting cracks in logs, having two blades which each extend from a back surface to a cutting edge along a cutting direction and which are tapered in the cutting direction, the cutting directions of the two blades are aligned parallel to one another and wherein the two blades are connected by a first connecting bar which extends between first end regions of the two blades and by a second connecting bar which extends between second end regions of the two blades.