Glossar

AI-powered object recognition refers to the automatic identification and classification of objects using artificial intelligence. It enables the reliable detection of packages, pallets, labels, or other objects based on image and sensor data.

AI-based object recognition utilizes camera sensors, 3D sensors, and deep learning models that reliably detect even complex shapes, damage, or markings. Among other things, the technology supports quality control, automatic master data capture, and process control in intralogistics. Thanks to its high recognition accuracy, manual checks can be reduced and processes made more efficient.

Practical example:

In a package sorting center, an AI system automatically detects damaged shipping boxes, hazardous materials labels, and protruding loads, and directs affected shipments specifically for further inspection.

See also: 3D Sensors, Artificial Intelligence (AI), Camera sensors, Deep learning, Hazardous materials labels, Object recognition, Quality control, Sensor technology