Oxys's AI Data Driven Insights

"See" What a Visual Inspection Cannot

Oxys’s Structural Health Monitoring (SHM) Solar Powered Bridge Monitoring System (BMS)

Oxys SHM Bridge Monitoring System is a solar powered system utilizing standard industrial accelerometer and inclinometer sensors, conventional data gathering & computing hardware, and proprietary AI.

  • Machine Learning Algorithms to create a quantitative characterization (a “Signature Baseline”) of the monitored bridge, and define a Tracking Metric to monitor changes in bridge response over time.
  • Provides augmented continuous monitoring to state & federally regulated periodic visual inspection.

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Quite Simply: We Get Results ...

  • Results from the Oxys SHM BMS have been used by a Northeast DOT to manage challenging bridge assets.
  • The Oxys SHM BMS has had success in detecting shear joint degradation in Pre-Stressed Concrete Butted Box Beam Construction with No Top Slab.

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What markets we serve


  • We help our customers maintain machine uptime and maximize operational efficiency. We also enable then to do energy monitoring, predictive maintenance that anticipates problems before they happen, and improve part and process quality.


  • We are on the operations side, not the patient-facing side. In this market vertical, our customers must provide very high quality products that must also pass rigorous review by governing bodies like the FDA. Here again, we focus on machine uptime, operational efficiency, and predictive maintenance to avoid unplanned downtime.


  • For bridges and other civil infrastructure, local, state and federal agencies have limited resources. We help our clients prioritize how to spend limited funds by addressing those fixes which need to be made first.
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