This invention relates to a cutting system for cutting food products while the food products are conveyed by a conveyor. An arc-shaped system and a cutting means are provided, where the cutting means is adapted to be connected to the arc-shaped system. The arc-shaped system is adapted to be positioned above a surface area of the conveyor on which said food products are resting during the cutting such that the center of the arc-shaped system is around the surface area. A control unit operates the position of the cutting means within the arc-shaped system based on image data.

An automated system and method is provided for separating left and right animal carcass cuts from one another. The system includes a conveyor to carry cut meat pieces along a path. A sensor generates a signal corresponding to the left or right cuts, and sends the signal to a processor or controller, which actuates a product diverter, which moves across the conveyor so as to push and remove selected meat pieces from the conveyor for further processing on a separate line. The diverters are pivotal out of the conveyor path if engaged by meat piece intended to continue along the conveyor path.

A system for measuring physical properties of a workpiece in motion which includes a conveyance assembly for conveying the workpiece, a scanning assembly for scanning the workpiece, and a measurement assembly for measuring at least one physical property of the workpiece while the workpiece is in motion.

A computer-implemented method of optimizing machine processing of a workpiece may include receiving, by a computing device, at least one sensor input regarding a workpiece; performing, by a computing device, pre-processing of the at least one sensor input for at least one of efficient transfer to another computing device and optimal use in one or more machine learning models; executing, by a computing device, one or more machine learning models to output requested information regarding the workpiece based on data in the at least one sensor input; processing, by a computing device, the output; and controlling at least one aspect of the machine processing of the workpiece, by a computing device, in response to the processed output.

Scraping bone dust off of pieces of meat may be performed using a sensor camera, a computing system, and a robotic arm equipped with a scraper. The camera may provide images of a piece of meat that may be processed in the computing system, either alone or in combination with the sensor camera, to determine how to control the robotic arm. A pair of bone scraping systems may be used in combination with a flipping device disposed between them to enable bone dust scraping from both sides of the piece of meat.

An automated scanning and butchering system is disclosed. Said system having a PLC system, a scanning system and a butchering system in data communication. The butchering system comprising a one or more saw assemblies, a conveyor system, a one or more cradles, and a first end and a second end. The one or more saw assemblies are arranged between the first end and the second end of the butchering system. The conveyor system comprises a conveyor comprising the one or more cradles configured to move items from the first end to the second end of the butchering system. The one or more cradles are configured to releaseably receive and hold a target object as the conveyor moves the target object from the first end to the second end of the butchering system. The scanning system comprising a one or more scanners.

The disclosure relates to methods for generating carcass processing options based on a primal/subprimal weights and yield training module. In one embodiment, the methods disclosed herein use automated methods to process image data using one or more trained modules, and determine carcass processing options based on an estimated weight calculation output from the trained modules, without using a scale-based weight measurement as an input.

An automated saw wherein: the automated saw comprises one or more visual sensors, a meat positioning assembly. The automated saw is configured to analyze an uncut meat and calculate one or more cutting depths for one or more cut portions from the uncut meat. The uncut meat comprises a first end and a second end. The first end of the uncut meat can be analyzed by the automated saw by: capturing a first slice image of the first end, locating a first bone configuration and a configuration of one or more meat portions in relation to the first bone configuration, and measuring portions of the one or more meat portions to categorize which among one or more cuts of meat is presented at the first end of the uncut meat. The automated saw calculates a first cutting depth for a first meat portion.

A system for processing food products comprises a slicing apparatus that is configured to cut off slices from food products and to form part portions having one or more slices in a portioning section. A transport device adjoining the portioning section is provided and the portioning section comprises a conveying device that transfers the part portions to the transport device. The system comprises a stacking apparatus that is configured to form a food portion comprising a plurality of part portions. The transport device is configured to transport the part portions onto a product support of the stacking apparatus, wherein the transport device and/or the stacking apparatus has/have a scale for measuring the weight of the part portions and/or of the food portion.

A trim optimization system may include a first cutting assembly configured to generate workpiece trim and trimmed workpieces, a sensor assembly configured to generate at least one of trimmed workpiece and trim sensor data, and a sorting assembly configured to divert trim from the first cutting assembly to a trim use assembly. The trim optimization system may include memory storing instructions that, when executed by a processor, cause a computing device of the workpiece processing optimization system to: process input data including at least one of trimmed workpiece sensor data, trim sensor data, trim demand for the trim use assembly, workpiece supply data, and workpiece processing requirements; and, output a trim optimization plan including at least one of: a trim designation location in the trim use assembly for an amount of trim; and instructions for adjusting settings to change an amount of workpiece trim generated by the first cutting assembly.