RAILCTX is an edge platform for detecting and processing physical events in railway operations. The device records vibrations, shocks, acoustics, and environmental data at critical railway points, evaluating signals locally rather than transmitting raw data streams.
Processing can run with local deterministic logic, in the cloud, or as a data streamer together with MEC AI edge computers. RAILCTX can be trained using RET (Rail Efficiency Toolkit) for deriving thresholds and patterns.
RAILCTX operationalizes physical reality in rail operations - through local event detection, traceable evidence, and scalable edge integration.
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