Development of naked primal cut recognition software

07 December 2017
Focus area: Sustainability
Program stream: Sustainability
Red meat processors currently utilise manual skilled labour for their naked primal cut identification and bagging procedure.

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.
Previous in this focus area 28 July 2021 2020 Environmental performance review for the red meat processing industry Next in this focus area 13 July 2018 Development of reporting tools for the australian livestock processing industry animal welfare certification system