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Regional Priority Based Anomaly Detection using Autoencoders
In the recent times, autoencoders, besides being used for compression, have been proven quite useful even for regenerating similar images or help in image denoising.
Siamese Neural Networks for One-shot detection of Railway Track Switches
Here we will use a Siamese network to continuously compare Track images and detect any significant difference in the Track.
Railway Track Specific Traffic Signal Selection Using Deep Learning
Using advanced image analysis and deep learning techniques, signals are detected in these camera images and a database of their locations is created.
Vision Based Railway Track Monitoring using Deep Learning
Computer vision based methods have been explored in the past for detection of railway track defects, but full automation has always been a challenge because both traditional image processing methods and deep learning classifiers trained from scratch fail to generalize that well to infinite novel scenarios seen in the real world, given limited amount of labeled data.
