AI Use Case
Monitor and predict problems on rail network
Most railway networks are large, complex, frequently old, subject to all manner of environmental hazard and prone to degradation. Using sensors and cameras to monitor tracks and predict required maintenance can have a considerable cost and safety impact.
Risk reduction - Reduce environmental physical risk,Operational Support - Issue / outlier ID,Cost - Lifecycle maintenance support cost reduction
General Electric~GE achieves speed and accuracy in detecting track flaws in real time with machine learning
Video,Time series,Structured / Semi-structured,Images
Product - Data Capture - Telematics,ML Task - Action Selection - Reinforcement Learning ,ML Task - Prediction - Binary Classification,ML Task - Prediction - Multi-class Classification,ML Task - Prediction - Regression,Machine Learning (ML),Product - Data Capture - Sensor IoT