3D data interpretation

We extract the relevant information from enormous amounts of data, using established as well as AI-baised methods for automated data interpretation.


Full wave form
signal processing

By combining LiDAR systems with intelligent signal evaluation, no object detail remains hidden – even in fog or smoke.


Geometrical data

The analysis of the geometry and position of objects reveals much about their condition.


Cognitive data

AI-based methods enable an automated analysis and interpretation of 3D point clouds.


Multispectral data

The spectral fingerprint of different substances allows conclusions to be drawn, e.g. about the moisture content of surfaces or the health condition of plants, thus supplementing the purely geometric measurement data.