DB Cargo uses AI technology for efficient rail freight operations

DB Cargo uses AI technology for efficient rail freight operations
© Deutsche Bahn AG / Georg Wagner
More than 10,000 wagons a day are now handled at eight major depots with the help of AI technology, which analyses the condition of the wagons and reads key operating data as they pass through camera-equipped portals.

DB Cargo uses artificial intelligence in its rail freight operations. More than 10,000 wagons are dispatched every day with the help of AI in eight large marshalling yards. AI technology can analyze the condition of wagons as they pass through marshalling yards. It can also read out important operating data. For this purpose, DB Cargo is already using existing camera bridges. The AI initiative in rail freight is part of Deutsche Bahn's long-term growth strategy "Strong Rail". The digital eye ensures that more freight is transported by climate-friendly rail because operations can be handled much faster and more effectively.

For some time now, DB Cargo has been using camera bridges for the digital diagnosis of freight wagons. A total of 13 camera bridges exist at the eight largest freight stations in Germany. Freight trains pass through gantries equipped with high-speed cameras and lighting. The recorded images are analyzed by an AI to detect damage.

Another feature is now being rolled out: the most important wagon information can be read and analyzed in a matter of seconds by means of AI. Wagon labels contain essential operating data such as tare, brakes, loading dimensions and much more. The verification of this data is a legal requirement and must be carried out every time a train is to be formed.

Previously, employees had to do this manually with long computerized lists, which took a lot of time. DB Cargo can now accurately identify and process the 15 most important addresses on a freight car using the new AI-supported image processing system. The project is funded by the German Federal Ministry of Digital Affairs and Transport. It is part of the Future of Rail Freight Transport programme.


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