Glossary

3D data is digital information that describes the spatial characteristics of an object or environment. It represents geometries, contours, dimensions, and positions in three dimensions and serves as the basis for measurement, analysis, and automation processes.

3D data is captured using sensors such as LiDAR systems, laser scanners, or 3D cameras and then digitally processed. In logistics, it enables the precise measurement of packages, pallets, and other loading units, as well as the automatic detection of shape and position information. This optimizes material flows and provides downstream systems with reliable master data.

Practical example:

In the goods receiving area, a DWS system automatically captures the 3D data of a pallet and transmits the dimensions to the warehouse management system.

See also: 3D sensors, dimensional measurement, DWS, cargo measurement, laser scanners, material flow, sensor technology, master data capture

3D point cloud refers to a digital representation of an object or environment consisting of a large number of spatially captured measurement points. Each point contains positional information in three-dimensional space and, together with other points, maps the geometric structure of an object.

3D point clouds are generated, for example, by LiDAR sensors, laser scanners, or 3D cameras and are used for the precise capture of contours and dimensions. In logistics, they enable the analysis of loading units, pallets, and packages for applications such as automated measurement and contour inspection. The resulting 3D data supports digital processes, quality inspections, and the reliable control of automated workflows.

Practical example:

A measurement system creates a 3D point cloud of a pallet to automatically detect protrusions, irregular contours, and the actual dimensions.

See also: 3D sensors, DWS, contour inspection, laser scanners, LiDAR, measurement data acquisition, point cloud, volume measurement

3D sensors are optoelectronic sensors used for the three-dimensional detection of objects and their spatial characteristics. They non-contactedly measure dimensions, contours, positions, and surface structures, and provide precise measurement data for automated processes.

Depending on the application, 3D sensors use technologies such as laser triangulation, LiDAR, time-of-flight, or stereo vision. In logistics, they are used for the automatic measurement of packages, pallets, and other loading units. The captured data forms the basis for DWS systems, material flow control systems, and other automated applications.

Practical example:

At a parcel sorting center, 3D sensors capture the dimensions of each package during the conveyor process and make the measurement data immediately available for further processing.

See also: 3D data, distance sensor, dimensional measurement, DWS, cargo measurement, LiDAR, sensor technology, master data capture