AI-based structural analysis reimagined
Conventional grain size analysis often delivers fluctuating results. Our solution ensures consistent and reliable outcomes, independent of the user.
Our AI accurately and reproducibly identifies grain boundaries, even within complex microstructures. It delivers consistent, reliable results across austenite, ferrite, martensite, dual-phase steels, and non-ferrous metals, including samples with challenging preparation quality.
✔ One-time analysis of your image
✔ Raw image / result comparison
✔ Feedback from an expert
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“Thanks to the close cooperation between Imagic and MECS as an on-premises solution in Imagic IMS, AI-based grain size analysis sets new standards in materialography. It is the first model in a series of AI-based structural analysis modules, which will also create practical added value in other areas in the future.”
Professor of Functional Materials at the University
of Saarland
“The new AI-based grain size analysis enables us to precisely and objectively evaluate microstructural features. This increases efficiency and reproducibility, a milestone for research and industrial applications.”
DGM Section Chair for Materialography
The integrated AI module automatically analyzes microstructures, delivering precise and reliable results, regardless of image source, sample quality, or operator.
Save time on routine tasks, obtain reproducible results, and ease the workload of your specialists, leaving more room for interpretation and strategic decisions.
The AI was trained on diverse datasets and consistently delivers high-quality results. With the “human-in-the-loop” approach, professionals retain full control and can perform plausibility checks.
Yes, the evaluations are based on DIN, EN ISO, and ASTM standards and can be easily integrated into existing quality management processes.
