Şişecam – committed to developing solutions for a sustainable world and more efficient production processes – is currently implementing the Glass Colour Optimization Project (CROP) with Artificial Intelligence and Machine Learning Methods. This initiative aims to eliminate colour issues during the manufacture of glass. The project will reduce the production waste rate and the resulting carbon emissions.
The forward-looking project is being carried out by a consortium that includes Şişecam, Koç University, TÜBİTAK Artificial Intelligence Institute and Analythinx. CROP aims to develop an infrastructure to minimize colour differences and to identify and quickly resolve the root cause of colour-related problems in glass production with artificial intelligence models. Designed to improve colour quality in the glass industry, the project will integrate advanced technology and artificial intelligence know-how into production operations while expanding the country’s industrial knowledge base.
CROP will start at the Şişecam Eskişehir Glassware plant and last for two years. This initiative once again demonstrates the value Şişecam attaches to innovation and continuous development. The project is expected to have a major impact through information transfer to other Şişecam plants.
CROP is one of 17 projects supported as a result of TÜBİTAK’s 1711 Artificial Intelligence Ecosystem Call in 2023. The project includes modelling that will help manage the change created by artificial intelligence, achieve results to benefit humanity, produce value from artificial intelligence and achieve full independence in critical technologies.