Image Prep
Multi-Sensor Inputs
High-resolution video frames, coordinate georeferencing, local tide offsets.
THE CIS ENGINE
Computer vision & hydrodynamic inversion
Our system leverages advanced computer vision and hydrodynamic equations to estimate nearshore wave parameters. This approach eliminates the maintenance risks and high capital costs of oceanographic buoys.
Core Pipeline
Ingestion
Video + Metadata
➔
Live Engine
CIS Inversion
Computer Vision + Physics
➔
Delivery
Significant Wave Height, Wave Period, Depth + Confidence
Spectral Inversion
Physics-Informed Vision
Optical flow analysis, wave signal extraction, and shallow water wave theory dispersion solver.
Quality Assurance
Confidence-Scored Metrics
Estimates of significant wave height, peak period, bathymetry indicators, and model confidence.
Processing workflow
Stage 01
1Ingestion & Check
System verifies file integrity, detects orientation, and checks for adequate contrast/lighting.
Stage 02
2Stabilization
Feature tracking algorithms remove high-frequency camera shake caused by wind or hand movement.
Stage 03
3Spectral Analysis
Tracks intensity fluctuations over time and space to map wave frequency and celerity.
Stage 04
4Buoy-Matched Report
Applies local tidal boundaries to output calibrated wave height, period, and confidence scores.
Estimated parameters
Significant Wave Height, Wave Period, Est. Depth
Input requirements
Standard camera / UAV
Validation strategy
In-situ buoy cross check
Interested in the technical methodology?
Our scientific team is available to review our buoy validation papers, explain our handling of camera angles, and discuss regional hydrodynamic tuning.