Vision Systems for Part Identification and Sorting
The Rochester Institute for Technology (RIT) Remanufacturing Testbed gives remanufacturers an experimental space for discovering how machine-vision systems can be used to identify and sort “cores” (used parts collected for remanufacture). Watch Abu Islam, a lead staff scientist at RIT’s Golisano Institute for Sustainability (GIS), show how an automotive part recycler could use meshing vision, automatic part-handling, and machine learning to identify cores with 95-percent accuracy.