In an interview with K-MAG, Michael Köster talks about the collaboration, the innovative sorting technology and the extent to which AI-controlled processes improve the quality and efficiency of plastics recycling.
Mr Köster, how did the partnership between STEINERT and RE Plano come about and what goals are you pursuing with the implementation of AI-based sorting technologies?
Michael Köster: In order to enable closed-loop applications for PP and PE plastics, such as those that exist for PET, RE Plano was looking for a partner that could sort these materials by colour and material in a correspondingly good quality. This is possible with the sensor fusion of colour and NIR cameras in STEINERT UniSort sorting systems and is even more reliable and efficient thanks to AI-based sorting programs.
What are the challenges involved in sorting plastic fractions such as polyethylene and polypropylene and how does AI-based technology help to overcome them?
Köster: There are foreign substances in the material flow that cannot be sorted using conventional technology. One example of this is silicone cartridges made from HDPE, which can contain silicone residue and therefore contaminate the PE sorting product. STEINERT sorting systems are able to sort out these materials using AI-based sorting programmes. The same applies to single and multi-layer packaging. In addition, the reliability of sorting white and natural-coloured materials can be improved.