Glossar

A point cloud refers to a collection of three-dimensional measurement points that digitally represent the spatial structure and geometry of an object or environment. Each individual point contains information about its position in space and can be supplemented with additional attributes such as intensity or color.

Point clouds are generated, for example, by laser scanners, LiDAR sensors, or 3D cameras and are used for the digital capture of objects and environments. In logistics, they enable the precise analysis of contours, dimensions, and spatial characteristics of goods or load units. They form an important data foundation for applications such as automated measurement, contour inspection, and three-dimensional object recognition.

Practical example:
A 3D scanner generates a point cloud of a pallet to capture protrusions, irregular contours, and the actual dimensions for automatic inspection.

See also: 3D sensors, automatic measurement, contour inspection, laser scanners, LiDAR, measurement data acquisition, sensor technology, volume measurement