Artificial Intelligence

based on an article by Dr Cornelia Jokisch, K’ show PR The plastics industry faces major economic and regulatory disruptions worldwide. Rising competitive pressure, stricter environmental regulations and higher demands made on circularity increase the pressure to innovate. On-going digitalisation offers new opportunities for producing more efficiently and sustainably. Automated processes,

How digitisation is driving sustainable packaging innovation based on an article by Reece Armstrong, CAE Graduate Engineer and Ross Blair, Head of Simulation at BMT As global sustainability goals accelerate the shift from virgin PET to 100% recycled content (rPET), companies in the packaging sector face increasing pressure to adapt –

Boosting efficiency in plastic recycling Recycling plays a key role in creating a functioning circular economy for plastics. One of the biggest challenges lies in the accurate sorting of highly heterogeneous material streams – as only high-quality recyclates can be reused in new products. Modern technologies from Sesotec based on Artificial

AI-powered sorting system with deep learning technology Thanks to its integrated deep learning software, Tomra’s GAINnext reduces the need for manual sorting by identifying hard-to-classify and overlapping objects. It automates complex tasks beyond the capabilities of traditional optical waste sorting, using intelligent trajectory calculations for high-precision results.The solution recently has won

In a landscape where artificial intelligence is becoming increasingly common, Sacmi chose to follow its own path. The result is Classy-AI, an application developed entirely in-house, designed to tackle a fundamental question in manufacturing: “What are the defects in my production?” Unlike standard market solutions that rely on commercial AI libraries