Sisecam is currently implementing the Glass Color Optimization Project, or CROP, with artificial intelligence and machine learning methods. This initiative aims to eliminate color issues during the manufacture of glass. The project will reduce the production waste rate and the resulting carbon emissions.
Project info
The forward-looking project is being carried out by a consortium that includes Sisecam, Koç University, TÜBİTAK Artificial Intelligence Institute and Analythinx. CROP aims to develop an infrastructure to minimize color differences and to identify and quickly resolve the root cause of color-related problems in glass production with AI models. Designed to improve color quality in the glass industry, the project will integrate advanced technology and AI know-how into production operations while expanding the country's industrial knowledge base.
CROP will start at the Sisecam Eskişehir Glassware plant and last for two years. The project aims to have a major impact through information transfer to other Sisecam plants.
CROP is one of 17 projects supported as a result of TÜBİTAK's 1711 Artificial Intelligence Ecosystem Call in 2023. The project includes modeling that will help manage the change created by AI, achieve results to benefit humanity, produce value from AI, and achieve full independence in critical technologies.
