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Optical sorting device unveiled by TOMRA for nuts and IQF manufacturing sectors

Optical sorter from TOMRA Food improves detection, precision, operation, productivity, and adaptability for the nut and IQF sectors, showcasing enhanced capabilities.

Optical sorting device unveiled by TOMRA for handling nuts and IQF sectors
Optical sorting device unveiled by TOMRA for handling nuts and IQF sectors

Optical sorting device unveiled by TOMRA for nuts and IQF manufacturing sectors

In the ever-evolving world of food production and packaging, two significant advancements have caught the attention of the industry. On one hand, TOMRA Food has launched the Tomra AUTOSORT AL, a sorter designed to upgrade wrought aluminium scrap and produce high-purity fractions. On the other, the focus on packaging sustainability in 2025, as outlined in the Packaging and Packaging Waste Regulation, has become a hot topic.

The Tomra AUTOSORT AL sorter is just one of TOMRA Food's latest innovations, designed to enhance food safety and consistency by increasing detection of foreign materials, product, and color defects. This machine stands out for its ability to simultaneously use LUCAi Deep Learning and traditional machine learning technologies, offering 'unmatched adaptability' and new opportunities for food sorting operations.

Meanwhile, top brands like Unilever, Amcor, and Asahi are trialling Greyparrot's Deepnest AI platform, a technology that uses AI to provide brands with data on their packaging management throughout recycling systems. Greyparrot COO Gaspard Duthilleul was recently interviewed about the Deepnest AI platform in July, shedding light on its potential impact.

However, it's worth noting that a recent guide on global packaging sustainability regulation in 2025 does not appear to mention either the TOMRA 4C or Greyparrot's Deepnest AI platform. The guide also does not discuss the performance metrics of the TOMRA 4C, such as its low false reject rate, nor does it provide details about the TOMRA 4C's capabilities, such as its adaptability, foreign material detection, or integration into lines.

Moreover, the guide does not seem to discuss AI-based technology for upgrading wrought aluminium scrap or AI for packaging management throughout recycling systems. This could indicate a gap in the current discourse on packaging sustainability, as these technologies hold immense potential for improving the recycling process.

As the focus on packaging sustainability continues to grow, it will be interesting to see how these advancements in technology can contribute to the increased use of reusable packaging in supermarkets. The key to this lies in the combination of these technologies, offering new opportunities for food sorting operations and recycling systems alike.

In conclusion, the food production and packaging industry is witnessing rapid technological advancements, with TOMRA Food's Tomra AUTOSORT AL sorter and Greyparrot's Deepnest AI platform leading the way. As these technologies continue to evolve and gain traction, they are poised to play a crucial role in achieving sustainable packaging solutions in the future.

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