This requires significant labour from staff trained in the identification of primal cuts. The misidentification of primal cuts from operator error is also a problem faced by processors. These issues come at significant costs to red meat processors.
To overcome these issues and reduce production costs, a Naked Primal Cut Recognition Software Package has been developed. This solution was achieved by placing a 3D stereoscopic camera over the primal cut transfer conveyor to capture a high-resolution 3D image of each primal cut as it passed underneath. A neural network was developed to process the acquired 3D image to determine useful feature data and correctly identify the type of primal cut.