Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: An image sensing assembly includes an enclosure that defines a first viewport aperture in a front wall of the enclosure. The image sensing assembly includes a first image sensor attached within the enclosure, the first image sensor aligned with the first viewport aperture in the front wall of the enclosure to capture image data representative of a scene viewed through the first viewport aperture. The image sensing assembly includes a bracket attached to the enclosure at a first portion of the bracket and attached to a first mounting plate at a second portion of the bracket. The image sensing assembly includes a vibration dampening mount located between the bracket and the first mounting plate to at least partially isolate the enclosure from vibration of the first mounting plate.

Abstract: Systems and methods for profiling a pallet in a warehouse can include a turntable that rotates the pallet, conveyor belts that move the pallet, and a vertical profiling structure, having cameras mounted at different locations, in a stationary position proximate to a side of the turntable. A photo booth can also be used to provide uniform lighting. A computing system can instruct a conveyor belt to automatically route the pallet onto the turntable, instruct the cameras to capture image data of the pallet as it rotates on the turntable, receive the image data, and retrieve image-based models of the pallet that were trained using images of pallets having unique identifiers. The computing system can determine, based on applying the image-based models to the image data, whether the pallet's unique identifier is identifiable, and transmit, to a warehouse management system, a notification indicating whether the unique identifier is identifiable.

Abstract: An image sensing assembly includes an enclosure that defines a first viewport aperture in a front wall of the enclosure. The image sensing assembly includes a first image sensor attached within the enclosure, the first image sensor aligned with the first viewport aperture in the front wall of the enclosure to capture image data representative of a scene viewed through the first viewport aperture. The image sensing assembly includes a bracket attached to the enclosure at a first portion of the bracket and attached to a first mounting plate at a second portion of the bracket. The image sensing assembly includes a vibration dampening mount located between the bracket and the first mounting plate to at least partially isolate the enclosure from vibration of the first mounting plate.

Abstract: An image sensing assembly includes an enclosure that defines a first viewport aperture in a front wall of the enclosure. The image sensing assembly includes a first image sensor attached within the enclosure, the first image sensor aligned with the first viewport aperture in the front wall of the enclosure to capture image data representative of a scene viewed through the first viewport aperture. The image sensing assembly includes a bracket attached to the enclosure at a first portion of the bracket and attached to a first mounting plate at a second portion of the bracket. The image sensing assembly includes a vibration dampening mount located between the bracket and the first mounting plate to at least partially isolate the enclosure from vibration of the first mounting plate.

Abstract: An image sensing assembly includes an enclosure that defines a first viewport aperture in a front wall of the enclosure. The image sensing assembly includes a first image sensor attached within the enclosure, the first image sensor aligned with the first viewport aperture in the front wall of the enclosure to capture image data representative of a scene viewed through the first viewport aperture. The image sensing assembly includes a bracket attached to the enclosure at a first portion of the bracket and attached to a first mounting plate at a second portion of the bracket. The image sensing assembly includes a vibration dampening mount located between the bracket and the first mounting plate to at least partially isolate the enclosure from vibration of the first mounting plate.

Abstract: In one implementation, a system for controlling defrost of a chilled environment includes a camera configured to capture images of one or more objects located in the chilled environment and a defrost control unit. The defrost control unit is configured to: receive an image of the one or more objects from the camera, analyze the image of the one or more objects to quantify an amount of frost formation on the one or more objects, determine when to initiate a defrost cycle in the chilled environment based on the amount of frost formation on the one or more objects, and in response to determining to initiate the defrost cycle, initiating the defrost cycle by sending a defrost control signal to a defroster. The defroster is configured to perform the defrost cycle within the chilled environment in response to receiving the defrost control signal.

Abstract: In one implementation, a system for controlling defrost of a chilled environment includes a camera configured to capture images of one or more objects located in the chilled environment and a defrost control unit. The defrost control unit is configured to: receive an image of the one or more objects from the camera, analyze the image of the one or more objects to quantify an amount of frost formation on the one or more objects, determine when to initiate a defrost cycle in the chilled environment based on the amount of frost formation on the one or more objects, and in response to determining to initiate the defrost cycle, initiating the defrost cycle by sending a defrost control signal to a defroster. The defroster is configured to perform the defrost cycle within the chilled environment in response to receiving the defrost control signal.

Abstract: In one implementation, a system for automatically profiling pallets includes a frame defining an opening that is sized and shaped for a pallet to pass through, and cameras mounted to the frame, the cameras being configured to capture images of a pallet as it passes through the frame. The system further includes a profiling computer system that is configured to receive the images captured by the cameras and to automatically profile the pallet based, at least in part, on analysis of the images. Automatically profiling the pallet includes generating a point cloud representing the pallet based on the images, determining a size of the pallet based on the point cloud generated from images of the pallet, identifying contents of the pallet based on the images, and providing pallet information identifying, at least, the size and contents of the pallet to a warehouse management system in association with the pallet.

Abstract: In one implementation, a system for automatically profiling pallets includes a frame defining an opening that is sized and shaped for a pallet to pass through, and cameras mounted to the frame, the cameras being configured to capture images of a pallet as it passes through the frame. The system further includes a profiling computer system that is configured to receive the images captured by the cameras and to automatically profile the pallet based, at least in part, on analysis of the images. Automatically profiling the pallet includes generating a point cloud representing the pallet based on the images, determining a size of the pallet based on the point cloud generated from images of the pallet, identifying contents of the pallet based on the images, and providing pallet information identifying, at least, the size and contents of the pallet to a warehouse management system in association with the pallet.