A computer-implemented method in which one or more processing devices perform operations may include obtaining a field image of a railcar collected from a field camera system and applying a machine-learning algorithm to the field image to generate a machine-learning algorithm output. The method may also include performing a post-processing operation on the machine-learning algorithm output to generate a filtered machine-learning algorithm output. Further, the method may include detecting a defect of the railcar using the filtered machine-learning algorithm output.


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    Titel :

    Machine-learning framework for detecting defects or conditions of railcar systems


    Beteiligte:
    AMOUIE MAHBOD (Autor:in) / GEBHARDT EVAN T (Autor:in) / DUAN GONGLI (Autor:in) / AKIN MYLES GRAYSON (Autor:in) / LIU WEI (Autor:in) / WANG TIANCHEN (Autor:in) / SARDESAI MAYURESH MANOJ (Autor:in) / LAVRIK ILYA A (Autor:in)

    Erscheinungsdatum :

    2022-10-11


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G06T Bilddatenverarbeitung oder Bilddatenerzeugung allgemein , IMAGE DATA PROCESSING OR GENERATION, IN GENERAL / B61L Leiten des Eisenbahnverkehrs , GUIDING RAILWAY TRAFFIC / G06K Erkennen von Daten , RECOGNITION OF DATA



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