It conserves resources and improves profitability – recycling valuable raw materials from accumulated bulky waste is beneficial in many ways. Sorting bulky waste by hand creates employment opportunities, but is cost-intensive and thus has a negative impact on the actual recycling rate.
Automated processes based on various image capture and image processing methods as well as artificial intelligence (AI) make efficient sorting of bulky waste possible. In the development of such processes, we are initially focusing on wood and wood-based materials in the »ASKIVIT« project. In addition, we are testing whether the process can also be used for non-ferrous metals in parallel, because in contrast to magnetic metals, non-ferrous metals are difficult to separate from bulky waste. We as Fraunhofer ITWM contribute our expertise in terahertz imaging to this process.