Abstract: A meat identification system and method are disclosed. The system obtains at least one frame of image data of a cut of meat moving along a path, and identifies the cut of meat based upon the image data in the at least one frame. For this purpose, in one embodiment, the system includes a conveyor and an image acquisition system configured to obtain at least one frame (e.g., 5-15 frames, such as 10 frames) of image data of a cut of meat moving along the conveyor. The system predicts a class of meat based upon the image data to identify the cut of meat. In examples, the system also obtains weight data and depth data relating to the cuts of meat as the cuts move along the path, and can use the weight data and/or the depth data, in conjunction with the image data, to identify the cuts of meat.

Abstract: Various gapping conveyors and classification conveyors, including combination gapping and classification conveyors along with separate gapping conveyors and classification devices. In some embodiments, the gapping scale conveyor system includes both a gapping conveyor and a multi-zone scale conveyor in the same device and further includes a computing device for controlling the two conveyors. In other embodiments, a gapping conveyor having three conveyor belts is provided, and separately a classification device is provided having a conveyor with a scale and a hood with various sensors therein, including an imaging device.

Abstract: A product processing and packing system including a product classifier to determine a product classification of a product as a function of sensor data. The system also has a sorting conveyor to guide the product to a loading station or other product receiving area. The system also has at least one processor to control the sorting of the product into the desired loading station or product receiving area as a function of the product classification. The system may also have a packed box merge and take away system.