Glossar

Deep learning is a subfield of machine learning based on artificial neural networks with multiple processing layers. It enables the automatic recognition of complex patterns and relationships in large amounts of data.

In logistics, deep learning is used for applications such as image processing, object recognition, quality control, and the automatic analysis of packages. The algorithms learn from extensive training data and continuously improve their recognition accuracy. This makes it possible to automate processes, reduce errors, and support decision-making based on precise data.

Practical example:

At a package sorting center, a deep learning model automatically detects damaged boxes, missing labels, and protruding cargo during the conveyor process.

See also: 3D sensors, Artificial Intelligence (AI), Artificial Intelligence in Logistics, Computer vision, Data analysis, Machine learning, Master data capture, Quality control