Glossar

Image processing involves the automatic capture, processing, and analysis of images using digital technologies. It enables the evaluation of visual information and the derivation of characteristics, states, or decisions from it.

In logistics, image processing is used to automatically recognize objects, contours, labels, and quality characteristics. Camera systems, sensors, and artificial intelligence enable, for example, the inspection of load units, the identification of goods, or the detection of deviations. In conjunction with DWS systems and automated processes, image processing supports reliable data capture, improves process reliability, and reduces the need for manual inspections.

Practical example:

A camera system analyzes a pallet during transport and automatically detects excess film, damage, or defective contours.

See also: Artificial Intelligence (AI), Contour inspection, Computer vision, DWS, Identification, Object recognition, Quality control, Sensor technology