Extrusion International 6-2025

62 Extrusion International 6/2025 RECYCLING Two Proven Technologies, One Goal: Producing High-Quality Granulates “The combination of our technologies enables a sub- stantial improvement in pellet quality and opens up new markets for recycled plastics,” explains Marcus Vogt, Technical Sales Manager at Kreyenborg. Stefan Lehner, PCR Product Manager at NGR, also views this collaboration as a pivotal step towards pro- moting the circular economy and meeting its increasing demands. The joint system is already successfully operational in the market. Furthermore, tests can be conducted with customer materials at any time to demonstrate the ef- ciency of this collaboration in a clear, and measurable manner. Kreyenborg GmbH & Co. KG www.kreyenborg.com NGR Next Generation Recyclingmaschinen GmbH www.ngr-world.com New eBook Underlining AI's Transformative Power in Recycling TOMRA Recycling has published its latest eBook, ‘AI in Recycling: Unlocking New Possibilities’. This comprehensive guide explores the rapidly evolving role of Arti cial Intelligence (AI), particularly deep learning (DL), in revolutionizing the global recycling industry and driving material circularity. The free-to-download eBook aims to demystify deep learning, explain- ing its mechanisms and showcasing its practical applications in overcom- ing complex sorting challenges, such as enabling the separation of previously hard-to-classify materi- als through the training of vast da- tasets. From manual processes to the prospect of fully autonomous AI-driven systems, the evolution of sorting technologies is also exam- ined in detail, alongside the core concepts of AI and deep learning. The eBook details how the power- ful synergy achieved by combining deep learning with traditional sen- sors in optical sorters is unlocking new opportunities for the recovery of valuable resources, enhancing material purity and creating new revenue streams. This is exempli ed by TOMRA's award-winning GAIN - next™ solution for food-grade plas- tics recovery (for PET, PP and HDPE), PET and paper cleaning and high- purity recovery of aluminum Used Beverage Cans (UBC), as well as the capabilities of the PolyPerception AI-based waste analyzer in provid- ing real-time, end-to-end object tracking and classi cation of waste streams. Readers will gain insights into the tangible bene ts of DL-based solu - tions, including enhanced exibil - ity, the creation of new high-value material streams, superior sorting accuracy, advanced plant automa- tion and optimized processes. The guide also showcases the growing range of deep learning applications pioneered by TOMRA including real-world examples. Furthermore, it examines the crucial role of AI in meeting the demands of evolv- ing regulations like the Packaging and Packaging Waste Regulation (PPWR), which necessitate advanced sorting capabilities to achieve cir- cular economy targets. Looking ahead, the eBook presents a vision for the future where AI could drive fully transparent and self-optimized recycling plants. Fabrizio Radice, SVP & Head of Sales and Marketing at TOMRA Recycling, comments: “We believe our new eBook will serve as a valu- able resource for the global recy- cling community, providing a clear understanding of how deep learn- ing is not a futuristic concept, but rather a tangible solution that is already delivering signi cant ben - e ts and paving the way for a truly circular economy. By demystifying the technology and showcasing re- al-world applications, our aim is to encourage recyclers and processors to embrace the transformative po- tential of AI and explore how it can help them achieve their operational goals, meet rising demand for re- cycled content and take advantage of new, expanded market opportu- nities.” To download a free copy: www.tomra.com/waste-metal-recycling/ media-center/download/AI-ebook TOMRA’s new eBook explores the role of AI in revolutionizing the global recycling industry