Faults in railway tracks cause majority of the train accidents. We present an automated fault detection technique using Machine Learning via Artificial Neural Network. The Camera will capture images of railway track which will be provided as an input to the system consisting of neural network. The Artificial Neural Network(A.N.N) will be trained on the basis of Dataset (made from the scratch) and on the basis of this training A.N.N will then provide absolute output whether the track is faulty or not. And hence proper measures can be taken by the authorities.


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    Title :

    Fault Detection in Railway Tracks Using Artificial Neural Networks


    Contributors:


    Publication date :

    2018-08-01


    Size :

    410024 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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