We’re delighted to share that Zetamotion was recently featured in Glass-Technology International (Issue 4/2025), showcasing how synthetic data is helping transform inspection in one of manufacturing’s most complex materials. Read the full feature here.
As glass products become smarter, more customized, and produced at faster rates, manufacturers face growing challenges in quality control. Defects can be subtle—tiny inclusions, surface scratches, or irregular coatings—and conventional inspection systems often struggle to distinguish acceptable variation from true flaws.
The article highlights how Zetamotion addresses this challenge by using synthetic data in quality control. Instead of depending solely on large libraries of real defect images, Zetamotion generates high-fidelity “virtual glass twins” that replicate realistic fault patterns under varied conditions. These datasets allow AI inspection models to train faster and more accurately, even across multiple product variants.
For manufacturers, the benefits are clear: faster deployments, reduced scrap, and measurable gains in production efficiency. Instead of bottlenecks, inspection becomes a competitive advantage.
Zetamotion’s Spectron platform is designed to deliver these outcomes at scale. By combining synthetic data generation with AI-driven adaptability, glass manufacturers can not only meet but exceed stringent quality standards. To explore how this works in practice, see our manufacturing inspection service.
For the full article, check Glass-Technology International Issue 4/2025 here.
