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: The present invention discloses a smart counting method and system in manufacturing, specifically in custom clothing or fabric manufacturing. The smart counting method and system uses a camera to feed real-time image data of a working platform where a worker takes a unfinished clothing or fabric, processes the clothing or fabric, and puts the finished clothing or fabric in a finished pile to a processing unit. The processing unit automatically starts a new work order and counts the number of finished products in this work order by using computer vision techniques.

Abstract: Systems, methods, and storage media for processing digital video are disclosed. Exemplary implementations may: receive digital video data at one or more digital video inputs; identify each of the plurality of video frames as one of a keyframe and an intermediate frame; use one or more first sets of software instructions to send at least one of the keyframes and the intermediate frames to one or more processing scripts; use the one or more processing scripts to implement an asynchronous batch processing system on at least one of the keyframes and the intermediate frames by applying one or more second sets of software instructions; and receive an output from the one or more second sets of software instructions.

Abstract: The present invention discloses a smart counting method and system in manufacturing, specifically in custom clothing or fabric manufacturing. The smart counting method and system uses a camera to feed real-time image data of a working platform where a worker takes a unfinished clothing or fabric, processes the clothing or fabric, and puts the finished clothing or fabric in a finished pile to a processing unit. The processing unit automatically starts a new work order and counts the number of finished products in this work order by using computer vision techniques.

Abstract: Systems, methods, and storage media for processing digital video are disclosed. Exemplary implementations may: receive digital video data at one or more digital video inputs; identify each of the plurality of video frames as one of a keyframe and an intermediate frame; use one or more first sets of software instructions to send at least one of the keyframes and the intermediate frames to one or more processing scripts; use the one or more processing scripts to implement an asynchronous batch processing system on at least one of the keyframes and the intermediate frames by applying one or more second sets of software instructions; and receive an output from the one or more second sets of software instructions.