TOMRA Recycling, a global leader in waste sorting technology, has unveiled its latest innovation in plastic recycling technology. In an interview, TOMRA's Product Manager of Deep Learning, Indrajeet Prasad, discussed the company's groundbreaking AI-based sorting systems.

The GAINnext AI sorting platform for plastic recycling by TOMRA is a significant advancement in the industry. This new platform represents TOMRA's commitment to incorporating AI and deep learning technologies into its plastic sorting solutions, marking a major milestone for the organization.

With the goal of achieving 95% purity in separating food-grade and non-food-grade plastics such as PET, PP, and HDPE, TOMRA's GAINnext system utilizes high-performance deep learning algorithms. This innovative technology utilizes neural networks and deep learning machine vision technology, enabling the device to detect and differentiate various objects based on their shapes, sizes, and dimensions.

By combining deep learning algorithms from GAINnext with traditional finding-based sorting equipment like AUTOSORT, TOMRA is able to create high-grade recycled products from raw materials used in food, cosmetic, and pharmaceutical packaging. This approach meets the increasing demand for high-purity recycled content in compliance with evolving regulatory requirements.

TOMRA's AI-powered sorting machines play a crucial role in advancing sustainability and meeting health and hygiene standards in the plastic recycling sector. By addressing regulatory mandates and hygiene concerns, GAINnext offers a sustainable solution for recycling food-grade plastics, contributing to a resilient and environmentally friendly future.

As TOMRA continues to innovate and achieve higher purity levels, customers can benefit from new income streams and contribute to a sustainable world for future generations. The success of TOMRA's customers is closely linked to the ability to generate income while maintaining a sustainable environment for all.