AI-powered onboard multi-sensor perception delivers train location assurance, object and hazard detection, collision avoidance, braking enforcement and infrastructure monitoring.

Traditional trackside infrastructure and manual inspections are costly, maintenance-heavy and vulnerable to failure, while operators face hazards, signals and track defects that are hard to interpret in time.
365mesh combines calibrated colour and thermal cameras with additional onboard sensors and rail-rated edge computing to determine train location, detect hazards, monitor infrastructure and support braking intervention.
Multiple onboard sensors capture imagery, thermal, accelerometer and positioning data; rail-rated edge computing processes and classifies it against a known network reference in real time; analytics assess hazards, authority and track condition; and the system alerts operators, logs events and can enforce braking.
Vendor documentation: link 1 · vendor website
Evidence level: L2 · Documented: how evidence levels work
Fuses onboard sensor data against a network reference to determine precise train location without trackside systems.
Calibrated colour and thermal cameras detect and classify objects and hazards beyond human visibility across the corridor.
An Advanced Driver Advisory System identifies signals, speed limits and track conditions and can enforce movement authority.
An optional certified relay enables automatic braking intervention in out-of-authority or overspeed scenarios.
Onboard sensors detect track defects, warping and environmental impacts with precise GNSS/GPS location during normal operations.
Consolidates location, speed, imagery and braking data on one platform for replay, investigation and compliance.
Ask the AI Solution Architect: compare this solution against alternatives, check connectivity for your region, and get integration guidance. Included with IoT Apps Enterprise.
Fit, availability or a detail on this page. Goes straight to 365mesh, no project needed.

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