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GTC On-Demand

AI Application Deployment and Inference
Presentation
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Deep Learning of Railway Track Faults using GPUs
Swiss Federal Railways (SBB) operate a 'diagnosis' train fitted with multiple high-resolution cameras that obtain images of tracks - all while traveling at a speed of 75 mph. Current data processing software conducted in real time on the train produces  a too high rate of false positives/negatives to the extent that railway experts still need to go on the track to physically inspect anomalies. This is not only very dangerous, but sometimes even impossible and in addition it requires a lot of human labor. We describe how deep learning technologies have been developed to massively improve the automatic detection and classification of railway faults. This is not just a nice-to-have, but rather a must-have in order to ensure the safety of future rail transportation.
Swiss Federal Railways (SBB) operate a 'diagnosis' train fitted with multiple high-resolution cameras that obtain images of tracks - all while traveling at a speed of 75 mph. Current data processing software conducted in real time on the train produces  a too high rate of false positives/negatives to the extent that railway experts still need to go on the track to physically inspect anomalies. This is not only very dangerous, but sometimes even impossible and in addition it requires a lot of human labor. We describe how deep learning technologies have been developed to massively improve the automatic detection and classification of railway faults. This is not just a nice-to-have, but rather a must-have in order to ensure the safety of future rail transportation.  Back
 
Keywords:
AI Application Deployment and Inference, Industrial Inspection, GTC Silicon Valley 2018 - ID S8944
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