Checks 100% for dimensional accuracy

The ZScan® multisensor system ensures precise, gapless 3D scanning of large components. Up to 8 scanners capture products up to 1.60 m long and generate a high-resolution 3D image with up to 20 million measuring points. The component is automatically aligned with the CAD image using various alignment methods and shape-specific deviations are automatically checked. Outstanding: Only a few seconds pass from the start of the scan to the result - even with very large components.

An essential feature is the 3D calibration specially developed for ZScan® using high-precision spherical targets, which allows sensors to be calibrated with a free spatial arrangement and the scan data from up to 8 scanners to be spatially merged. As a result, areas that are difficult to access, such as undercuts and the otherwise typical shadowing areas of triangulating sensors, can be avoided as far as possible.

3D inline measurement in production

ZScan® was specially developed for use directly in production and is characterized by its high robustness. The 3D measuring system can be used directly in the line and can be loaded both manually and automatically. The modular concept allows a direct integration into different production processes as well as an adaptation to different scan volumes and available machine installation spaces.

Easiest application

As a measuring system that is operated in production instead of in the measuring room, ZScan® is not operated by the trained measuring technician, but by a worker after a short briefing. Depending on the application, the system runs fully automatically as an inline measuring system, or is started via simple operating elements and predefined measuring programs by pressing a start button.

Optimize production processes easily

Upstream or downstream production can be easily optimized with the measurement data generated. The measurement data can be archived and evaluated, and product series and individual scans can be compared with each other. This provides more insight into production processes at each process step. The influence of parameter adjustments in the process is already made measurable in production. Process steps can thus be optimized in a targeted, data-based manner.

In addition, correction parameters can be automatically transmitted to upstream machines during the running process, thus positively influencing production quality. It is also possible to transmit the data to a downstream machine, which takes further steps based on the data.