K3I-Cycling

AI-based optimization of the recirculation of plastic packaging

Recycling
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The aim of the K3I-Cycling project is to promote the application of AI methods for a resource-efficient circular economy.

K3I-Cycling is one of two innovation labs of the AI Application Hub on Plastic Packaging, which is funded by the Federal Ministry of Education and Research. A total of 51 partners from business, science and society work closely together in the KIOpti-Pack (thematic cluster: design and production) and K3I-Cycling (thematic cluster: cycle closure) labs. The aim is to promote the application of AI methods for a resource-efficient circular economy in the field of plastic packaging in Germany.

Innovation lab: K3I-Cycling - AI- AI-based optimization of the recirculation of plastic packaging

K3I-Cycling is concerned with significantly improving the recycling of post-consumer plastic packaging waste in terms of both quantity and quality. By developing and providing a new, open, and standardizable artificial intelligence interface using Artificial Neural Twin for the cross-sectoral collection of relevant information for a lightweight packaging product passport, the digital networking of all stakeholders along the value chain is made possible for the first time. This is a fully differentiable representation of the overall system, with which individual components can be optimized to a global quality standard. New paths are being taken to collect the required data along the material flow regarding the sensor-based collection of information of all kinds.


Collaboration as an AI hub

The two innovation labs "Design and Production" and "Cycle Closure" are working towards the common goal of closing the plastic packaging value chain as far as possible. To this end, approaches are being jointly developed and defined as to how the respective consortia can best interact in this context. The focus here is on making the results of the respective innovation labs accessible to the other innovation lab and thus coming closer to closing the loop.

In particular, the focus here is on a joint exchange of data, which makes it possible to view findings across the entire value chain. "Data space and networking" as an interface topic is defined as a concrete connection point within the AI hub.