Most overhead line failures are predictable — most still aren't predicted. PANTO gathers pantograph and catenary data with onboard sensors and turns it into clear, prioritized maintenance decisions, so you act before a defect becomes a disruption.
A modular, IoT-based monitoring solution that watches the health of your pantographs and overhead lines during normal operation. Reliable onboard hardware captures the interaction; AI-driven software turns it into clear visibility and actionable maintenance decisions.
Five modular suites — Vibration-Based Monitoring, Profiling-Based Monitoring, Absolute Geometry Scanner, Dynamic Geometry Scanner and Thermography-Based Monitoring — feed the same PANTOhealth monitoring panel. Your teams see one map, one severity scale, one set of priorities, no matter which suite you start with. Begin with one need and expand without changing the workflow.
By integrating modular monitoring, rail operators and infrastructure managers unlock a new level of operational visibility — efficiency, safety, and proactive control.
Detect emerging defects before they cause failures or service disruptions — every anomaly is flagged, scored, and located so crews act early, not in reaction.
Optimize the lifespan of pantographs and overhead lines through continuous, in-time monitoring — catch wear and stress while there's still time to intervene.
Shift from reactive repairs to proactive, data-driven maintenance — plan interventions around real asset health instead of fixed schedules or unexpected failures.
Each suite targets a specific monitoring need — pick one to explore its hardware, measured parameters and where it fits. Combine any of them, or design a custom configuration with our engineering team.
Accelerometers mounted on the train, paired with a high-resolution camera, deliver health insights for the pantograph–catenary interaction — every shock and anomaly flagged and verified with synced video.
Captures geometry while the line is live — measuring the oscillations and uplift that only appear when the pantograph is in motion, so dynamic behaviour is never missed.
High-precision geometric data of the catenary — dual-illumination (ambient daylight + 850 nm IR) with on-edge AI turns the overhead line into measurable, analysable digital assets.
LiDAR measures wire height and stagger relative to the rail surface — not the vehicle — for true absolute geometry, fully independent of train dynamics, with AI anomaly detection across the line.
Roof-mounted long-wave infrared imaging of the contact zone turns surface temperature into early indicators of current leakage and electrical stress — day and night, fully contactless.
Every suite runs on the same PANTOcase edge-processing unit and feeds the unified OHL Monitoring Panel.
Wherever your data comes from — vibration, profiling, LiDAR or thermal — it flows into the unified OHL Monitoring Panel: map-based asset visibility, severity scoring and trend analysis, plus customizable alerts and maintenance recommendations.
Onboard sensors and cameras continuously capture real-time acceleration, geometry and visual data across the network.
The PANTOhealth platform detects anomalies, tracks trends and calculates severity scores on an intuitive dashboard.
Prioritized maintenance reports give crews specific, location-based tasks — resolving issues before they cause failure.
Field teams feed maintenance outcomes back into the AI engine, validating findings and improving detection models — a continuous loop.
Start with one suite or run all five — the data always lands in the same workflow. No matter how you grow your monitoring, your maintenance teams keep one map, one severity scale, and one set of priorities.
Tell us about your fleet and network, and our rail infrastructure experts will walk you through the monitoring suite — or custom configuration — that fits your maintenance goals.
Request a Demo →Onboard IoT · AI-driven panel · Predictive maintenance
