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.
Fault Detection in Railway Tracks Using Artificial Neural Networks
01.08.2018
410024 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Railway Tracks Defects Detection Based on Deep Convolution Neural Networks
Springer Verlag | 2021
|Real time fault detection of railway vehicles and tracks
IET Digital Library Archive | 2006
|Real Time Fault Detection of Railway Vehicles and Tracks
British Library Conference Proceedings | 2006
|Multi-sensor obstacle detection on railway tracks
IEEE | 2003
|Multi-sensor obstacle detection on railway tracks
Tema Archiv | 2003
|