AICell scan
Full-surface digitization directly in the production line.
AICELL SCAN: FULL-FIELD DIGITIZATION DIRECTLY IN THE PRODUCTION LINE
- Geometric digital twin: Full-surface acquisition of measurement data directly in the production line
- Digital assembly: Prediction of quality after virtual assembly
- Quality & productivity: Increased quality and throughput in production
- False color mapping for quick defect identification
- Rolling process monitoring in series production
- Complete scan during breaks and buffer times
If you know the geometry of a component across its entire surface, you can get more out of it. That is precisely the idea behind the AICell scan: It digitizes entire components in 3D and creates a geometric digital twin that enables far more analyses than traditional point-based measurement. Instead of individual measurement points, a complete representation is created, which mirrors reality so precisely that it can be used for calculations just as if it were the component itself.
The digital twin serves as the foundation for what we call digital assembly: Instead of waiting until components come together during assembly, it’s possible to predict on the model how the components will fit together later. Shape, position, and dimensions - everything can be verified in the virtual assembly before the actual component is installed. This identifies areas requiring intervention earlier and shortens correction cycles. What in the physical assembly only becomes visible once the component is already mounted in the body is already determined in the model hours beforehand.
This is visualized through false-color renderings that immediately and unambiguously highlight deviations. This allows trends in the process to be identified early, long before they lead to scrap. Rolling inspections safeguard series production without affecting the production cycle. This includes during breaks and buffer times when the line would otherwise be idle.
The AICell scan is thus not only a tool for geometry inspection but also an instrument for proactive process monitoring. It provides the data foundation on which quality is managed early on, rather than corrected afterward.