Menu

Deep Learning – AI in the machine technology of the flat glass industry

This article is available in the following languages:

A digital twin allows cullet water systems, for example, to be commissioned virtually, operators to be trained comprehensively prior to real operation and automation solutions to be extensively tested on the basis of Simatic PCS 7.
Graph: Siemens AG/PVAG

Press office glasstec 2024

The overview of defects identified by types and their classes using a flat glass inspection system as an example allows conclusions to be drawn on the system’s condition.
Chart: ISRA VISION GmbH

Statistical defect analysis using an inspection system for solar glass production as an example – including defect distribution and/or type clustering of the solar glass ribbon.
Chart: ISRA VISION GmbH

Digitalisation permits producing glass with complete transparency.
Legend: Cloud-based Applications
Virtual Product
Virtual Production
Real Production
Peripheral Equipment
Logistics Doghouse Hot End Cold End Logistics Glass Processing/ Glass Finishing Logistics
Chart: Siemens AG