TOMRA Food has unveiled its 4C optical sorting machine designed to increase detection, accuracy, performance, efficiency and flexibility for the nut and individual quick freezing (IQF) industries.
The company says 4C is the first TOMRA machine to allow packers and processors to run multiple forms of artificial intelligence (AI) including its LUCAi Deep Learning and traditional machine learning in tandem. These two technologies are said to offer ‘unmatched adaptability’ and new opportunities for performance for food sorting operations when used together, and allow customers to adapt to changing operational needs and unlock consistency when conditions within the product or sort change.
Apparently, they can also help to increase detection of foreign materials and product and colour defects, ensuring increased food safety and consistency across batches and shifts for optimized resource use and output. The TOMRA 4C arrives pre-set and ready to integrate into a new or existing line.
“The TOMRA 4C delivers serious performance improvements with the ability to achieve a lower than 1% false reject rate (<1% for nuts, and <0.5% for IQF). This is possible thanks to the excellence in engineering that TOMRA is known for combined with AI-powered processing and the latest generation of Pulsed LED sensors,” said Kristof Franckx, product manager for the TOMRA 4C.
Back in March, the company introduced its AI-based technology for upgrading wrought aluminium scrap and producing high purity fractions, GAINnext, designed for use by aluminium scrap processors and recyclers. The new technology recovers low alloy cast from the wrought fraction and reduces alloying elements such as silicone.
We took a closer look at Greyparrot’s Deepnest AI platform in July, currently being trialled by Unilever, Amcor and Asahi, which uses AI to give brands data on how their packaging is managed throughout recycling systems. To learn more about how the technology works and hear about some interesting learnings from the project so far, we spoke with Greyparrot COO Gaspard Duthilleul.
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