Infratico Platform

Products.

Sensing, inspection, moving-load measurement, environmental monitoring, and asset review.

Bridge and pavement sensors.

Infratico builds sensor systems for bridge structural health, pavement sensing, and embedded PEA monitoring.

Infratico sensor mounted below a bridge girder

Custom sensors for asset monitoring.

Sensor hardware supports continuous infrastructure monitoring, pavement instrumentation, and practical field deployment.

Self-powered monitoring inside smart structures.

Low-cost sensors embedded inside smart structures can support damage and mechanical-failure prognosis. Bridge deployments can harvest power from structural vibration.

Field installation context.

Quick installation takes only a few minutes per sensor. Prototype deployments are approaching their eighth year of operation.

PEA sensor specifications.

01

Self-powered operation

Low-cost sensors embedded inside smart structures can support damage and mechanical-failure prognosis. Deployed sensors target more than two decades of operation, with early prototypes approaching their eighth year in the field.

02

Edge classification

The self-powered approach harvests supplemental energy from the monitored structure itself. Each smart sensor can optionally use machine learning techniques to classify patterns within incoming physical stimuli.

03

Continuous monitoring

A self-powered analog electronic sensing element lets local sensor memory update without gaps caused by traditional ADC sampling limitations. The sensor updates data at effective sampling rates above 32 ksps.

04

Long-range wireless

Edge computing and local memory reserve more energy for long-range wireless communication. The system supports 50 km line-of-sight communication.

05

Wired or short-range wireless

The same sensor core can transmit data over wires or short-range wireless technologies such as backscattering.

06

Flexible form factor

For large-volume orders, the PEA sensor core can use a custom silicon die with a package size under 5 x 5 mm2.

Hardware for field environments.

PEA sensors handle tough field conditions and embedded monitoring use cases.

Operational Lifespan
25 years
Wireless Range
50 km line-of-sight
Sensitivity (Strain)
5-12000 microstrain
Effective Sampling
64 ksps
Sensitivity (Acceleration)
0.005-32 g
Local Data Storage
1,000 days

Autonomous inspection and mapping.

Drone systems support automated deployment, flight, landing, scanning, and corridor capture for pavements, bridges, and other infrastructure assets.

  • Automatic deployment, flight, landing, and scanning for bridge and corridor inspection workflows.
  • Autonomous drones self-fly and navigate in and around bridges and other infrastructure without relying on manual flight paths.
  • Infratico performs and integrates high-resolution scans, NDT support, 3D models, digital twins, finite element analysis, and predictive maintenance planning.

Moving load measurement.

Infratico weigh-in-motion systems measure moving loads across a wide range of asset and vehicle types, from bicycles to the largest commercial aircraft.

  • The system captures weight data without requiring the vehicle to stop.
  • Vehicles can remain in motion at speeds up to 60 km/h.
  • Supports operational awareness and data-driven asset management.
Infratico sensor installed under an overpass

Conditions around the asset.

Infratico builds custom environmental monitoring sensors for temperature, humidity, and surrounding conditions around infrastructure assets.

  • Underground probes measure temperature versus depth for frost-line monitoring and road-opening review.
  • Subsurface sensors can report temperature at regular intervals along the installed probe length.
Infratico Intelligence Platform asset dashboard

Cloud monitoring and anomaly detection.

The Infratico Intelligence Platform brings real-time sensor and asset data into a secure, web-based cloud environment for continuous infrastructure monitoring.

  • Secure cloud review for live sensor channels, asset dashboards, trends, alerts, and excursions.
  • Structural analysis outputs and custom anomaly detection methods tied to the monitored asset.
  • Review workflows for sensor data, inspection media, asset condition history, and maintenance decisions.
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