Echo
Rough Sense
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Real-time detection of dips, bumps, rutting, and cracks with instant geo-and-photo proof
Echo RoughSense is an advanced road monitoring system that automatically detects, classifies, and maps pavement defects like dips, bumps, rutting, and cracks in real time. By utilizing high-precision vibration sensors paired with smart filtering algorithms that completely eliminate vehicle noise and chassis movement, the technology captures micro-defects—such as minor surface unevenness and early-stage rutting—that are impossible to catch through visual image analysis alone.
Synchronises high-frequency shock and vibration sensors, telemetry, precise GNSS and high-definition optical imagery
Captures structural irregularities as small as 2mm, identifying sub-visual rutting, cracks, and early-stage surface depression at 120km/hr driving speed
A unified interface to track, review, and filter incoming defect logs, real-time alerts, and spatial analytics, spatial anomaly timestamps and actionable insights
Mount the lightweight, small-form-factor sensor onto any fleet vehicle in seconds. It automatically maps micro-defects, dips, and cracks at speeds up to 120 km/h, securing precise geo-location and photo evidence without driver intervention
The device filters out vehicle chassis vibrations in real time to isolate true pavement anomalies. It instantly analyzes, classifies, and rates defect severity on the edge before securely uploading the structured data to your central repository.
Access all logs via an intuitive central dashboard to generate automated maintenance reports. Seamlessly stream the telemetry into your external GIS or enterprise systems to prioritize repairs and make highly informed, predictive budgeting decisions.
MetaSpatial Echo RoughSense transforms reactive, budget-draining road maintenance into a predictive, data-driven operation. By deploying the lightweight sensors on existing municipal fleets (like waste trucks or utility vehicles), councils continuously map their entire network. This catches micro-defects before they become costly potholes, drastically lowering infrastructure expenses, shielding the city from vehicle damage claims, and providing an objective, automated audit trail for public asset allocation.
Provides a continuously updated “prior map” database of the road ecosystem, giving autonomous driving stacks advance knowledge of upcoming hazards before the vehicle’s onboard sensors can detect them. Relying solely on live vehicle vision can be dangerous in poor weather or at high speeds. By feeding live, crowdsourced road defect telemetry into localization maps, AVs eliminate the risk of the unknown—allowing vehicles to anticipate dips, ruts, and cracks, proactively adjust safety protocols, and prevent fatal navigation incidents
Enables high-speed, continuous asset health audits without closing active lanes or endangering survey crews. Because the system maintains precision at speeds up to 120 km/h, private toll concessionaires and highway agencies can run daily quality checks alongside standard traffic. Civil contractors can instantly verify the quality of new asphalt laydowns against contractual roughness specifications, speeding up project sign-offs and flagging immediate warranty repairs.
