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Use Cases regarding "Traffic and Logistics"

Runways are controlled by air traffic controllers observing the runways from the tower. As this task requires constant attention and the detection of security sensitive objects on the runway or in the air, Computer Vision can support air traffic controllers.

Through standardized images of different leathers, a machine learning algorithm can classify leather and assign it to the right garments.

Photos of defective spare parts are analyzed by a machine learning algorithm and the damage is classified. This information is used in the development of new products and in the selection of suppliers.

Defective components can cause major production losses. To prevent this, an algorithm can recognize patterns and distinguish faulty parts from faultless ones at an early stage.

Standard documents can be classified and automatically completed using voice input and machine learning algorithms. This document can be checked and edited afterwards.

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