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We offer yield optimization through state-of-the-art artificial intelligence solutions for quality control.



Alumil Group

With more than 30 years of experience and 2.200 employees, ALUMIL is one of the most advanced companies globally in the design and production of architectural aluminium systems, owning state-of-the art production lines in 12 factories across Europe. ALUMIL has fully adopted Extrusion 4.0 in the extrusion lines. The machine vision system has been deployed just a few meter from the press, allowing for full surface inspection, early defect detection and press operator alerting. Precise defect localization on extruded profiles along with production information, are synchronously uploaded to the cloud and big data analytics reveal scrap patterns and new ways to maximize revenue.

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Stone Group International

One of the largest groups of marble companies in Europe, active in quarrying, processing and trading marble all over the world with a dynamic presence in more than 80 countries. Stone Group International has fully adopted Stone4.0 in the entire tile production, enabling unquestionable marble tile sorting though novel machine learning algorithms. Smart tile sorting proved to be far more accurate and stable compared to manual sorting. Instant and automated marble tile rejection and classification led to yield optimization, claim reduction and real-time production insights.

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Co-financed by Greece and the European Union.