Glossar

Object recognition refers to the automatic identification and localization of objects based on image, sensor, or measurement data. It enables the reliable differentiation of various objects and the digital capture of their properties.

In logistics, object recognition is used in combination with cameras, LiDAR, laser, and AI systems to automatically detect packages, pallets, containers, or hazardous material labels. The information obtained supports processes such as dimensioning, sorting, quality control, and material flow control. Modern algorithms enable fast and reliable recognition even at high conveyor speeds and under changing environmental conditions.

Practical example:
An AI-powered camera system automatically detects cartons, plastic wrap packaging, and hazardous materials labels on a conveyor system and transmits the results to the warehouse management system.

See also: 3D sensors, AI-powered object recognition, Camera sensors, Free-form recognition, Image processing, Laser triangulation, LiDAR, Sensor technology