Vision based Train-Wagon Recognition

B. Keck, R. Ehsani, L. Meyerhoff, O. Rusch, and U. Zoelzer (Germany)


OCR, wagon number, recognition, image processing, train


A novel train-wagon recognition system based on copmuter-aided vision will be introduced in this paper. This system finds its application at Hamburg Harbor. It uses a sensor triggered camera and an OCR-System (Optical Character Recognition) for identifying wagon numbers and verifies them to a given list. The application uses a novel algorithm for pre-processing the color images before the data is processed by the OCR. The numbers that are extracted are checked for plausibility by two rails sensors, a weighting machine and an axis counter.

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