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Optimize paper sorting with AI

Data compiled by the European Paper Recycling Council (EPRC) shows that, in 2023, the recycling rate for all paper products increased to reach the record high of 79.3%.
Optimize paper sorting with AI
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To continue in this direction, the industry needs advanced solutions to recover even more material, but also modular solutions capable of adapting to changes in the market. Changes in consumer habits have transformed the composition of the fibrous material stream entering sorting centres: the volume of brown cardboard has risen sharply in the face of falling tonnages of newspapers and magazines.

Pellenc has developed CNS Brain on this basis. The add-on is designed to use artificial intelligence to improve detection accuracy and sorting performance. The combination of deep learning and NIR/VIS should enable the optical sorting machines developed by Pellenc ST to handle even the most complex sorting processes. In addition, the small distance between the detection head and the ejector should ensure very high ejection accuracy and reduce the loss of good products by half.

According to the manufacturer, CNS Brain does not require any additional hardware. It is available as an option for new machines or as a retrofit for the Mistral+ CONNECT and COMPACT+ product ranges.

Source: Pellenc ST
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