Artificial Intelligence : TOMRA's new eBook highlights AI's power in recycling

The free-to-download eBook aims to demystify deep learning by explaining its mechanisms and showcasing its practical applications. These include the separation of previously hard-to-classify materials through the training of vast datasets. The evolution of sorting technologies, from manual processes to the prospect of fully autonomous AI-driven systems, is also examined in detail alongside the core concepts of AI and deep learning.

This eBook details how combining deep learning with traditional sensors in optical sorters creates powerful synergies that unlock new opportunities for the recovery of valuable resources, enhance material purity and generate new revenue streams. Examples include TOMRA's award-winning GAINnext™ solution for the recovery of food-grade plastics (PET, PP and HDPE), the cleaning of PET and paper, and the high-purity recovery of aluminium Used Beverage Cans (UBC). The capabilities of the PolyPerception AI-based waste analyser also provide real-time, end-to-end tracking and classification of waste streams.

Readers will gain insights into the tangible benefits of DL-based solutions, including enhanced flexibility, creation of new high-value material streams, superior sorting accuracy, advanced plant automation, and optimised processes. The guide also showcases the growing range of deep learning applications pioneered by TOMRA, providing real-world examples. Furthermore, it examines the crucial role of AI in meeting the demands of evolving regulations such as the Packaging and Packaging Waste Regulation (PPWR), which necessitate advanced sorting capabilities in order to achieve the goals of the circular economy. Looking ahead, the eBook presents a vision for the future where AI could drive fully transparent, self-optimising recycling plants.

Fabrizio Radice, SVP & Head of Sales and Marketing at TOMRA Recycling, comments: “We believe our new eBook will serve as a valuable resource for the global recycling community, providing a clear understanding of how deep learning is not a futuristic concept, but rather a tangible solution that is already delivering significant benefits and paving the way for a truly circular economy. By demystifying the technology and showcasing real-world applications, our aim is to encourage recyclers and processors to embrace the transformative potential of AI and explore how it can help them achieve their operational goals, meet rising demand for recycled content and take advantage of new, expanded market opportunities.”

To download a free copy of ‘AI in Recycling: Unlocking New Possibilities’, please visit www.tomra.com/ai-ebook.