3D Velocity Field & Strain with a Single LASER RADAR
3D Vibrometry Made simple
Ommatidia Q2 reconstructs full field 3D velocity vectors from multiple views using one parallel scanning Laser RADAR. Achieve modal analysis, ODS, and strain ready outputs with a compact, deployable setup that preserves a clear evidence chain from raw data to engineering deliverables
For how this Q2 workflow sits alongside QMini, Q1S and Q1 measurement platforms, use the Q-series comparison reference.
Discuss the application
Breakthrough Ommatidia Q2 reconstructs full field 3D velocity vectors from multiple views using one parallel scanning Laser RADAR. Achieve modal analysis, ODS, and strain ready outputs with a compact, deployable setup that https://ommatidia-lidar.com/wp-content/uploads/2026/06/mkt-1312-03.webp 18548 laboratory setup single laser radar scanning curved metal panel with spherical fiducial markers engineering test bench Breakthrough: 3D velocity field reconstruction with 1 single Laser RADAR: featured visual context.
LDV measures velocity along the beam; a single view is a projection and can misrepresent true motion on curved or complex structures. – Multi-view observations make vector components observable across shells, lightweight panels, blades, vehicle parts, civil elements, and lab test articles where motion includes out-of-plane, in-plane, and local rotations.
https://ommatidia-lidar.com/wp-content/uploads/2026/06/mkt-1312-06.webp 18575 docx-08-image2 https://ommatidia-lidar.com/wp-content/uploads/2026/06/mkt-1312-09.webp 18602 docx-02-image10 Key advantages
Simple: One single Q2 recovers a complete 3D velocity field.
- Compact & affordable: Avoid multi-LDV rigs, robotic arms, and heavy lab integration.
- Fast: No per-point calibration campaigns; the same instrument provides metrology and vibrometry.
- Versatile: Deployable in labs, factories, and field sites without dedicated installations.
https://ommatidia-lidar.com/wp-content/uploads/2026/06/mkt-1312-09.webp 18602 docx-02-image10
Ommatidia Q2 extends Laser Doppler Vibrometry from directional, line-of-sight measurements to full-field 3D velocity vectors—using one single parallel-scanning Laser RADAR. By acquiring multiple Q2 views, registering them via spherical fiducials, and phase-aligning the data, the recovery software estimates the three velocity components at each surface point. The result is a coherent 3D motion field suitable for FEM correlation, modal analysis, ODS, and strain-ready outputs.
https://ommatidia-lidar.com/wp-content/uploads/2026/06/mkt-1312-12.webp 18629 docx-03-image11
- Per view, Q2 acquires a point cloud, beam directions, and line-of-sight (LoS) velocity at illuminated points. 2) For each surface point seen from three or more independent directions, the 3D velocity vector is solved from the LoS projections; extra views improve robustness via weighted least squares. 3) Local quality indicators assess observation count, residuals, and geometric conditioning. 4) Export allows advanced visualisation and further processing in commercial FEA/engineering software packages.
https://ommatidia-lidar.com/wp-content/uploads/2026/06/mkt-1312-15.webp 18656 docx-04-image12 https://ommatidia-lidar.com/wp-content/uploads/2026/06/mkt-1312-18.webp 18683 docx-05-image13
Plan as a single coordinated campaign, not isolated scans.
- Use Ommatidia planner tools to evaluate spatial coverage, sampling density, geometric consistency, phase consistency, and repeatable signal quality across views.
- Generate synthetic datasets to load in the reconstruction tool.
- Compare agains the ground truth to assess the effect of different experimental protocols, reconstruction algorithms and conditions (sampling, noise, interpolation scheme, etc.).
https://ommatidia-lidar.com/wp-content/uploads/2026/06/mkt-1312-18.webp 18683 docx-05-image13 PDFDownload application noteBreakthrough
Breakthrough Talk to Ommatidia LiDAR
Discuss how this measurement approach could support applications workflows with the Ommatidia LiDAR team.
Breakthrough: 3D velocity field reconstruction with 1 single Laser RADAR: featured visual context.
Application overview
LDV measures velocity along the beam; a single view is a projection and can misrepresent true motion on curved or complex structures.
Multi-view observations make vector components observable across shells, lightweight panels, blades, vehicle parts, civil elements, and lab test articles where motion includes out-of-plane, in-plane, and local rotations.
Up until now, the only way to achieve this was by using multi-head setups with robotic rigs. This was expensive, time consuming, rigid and limiting for many applications.
Key advantages
Simple: One single Q2 recovers a complete 3D velocity field.
- Compact & affordable: Avoid multi-LDV rigs, robotic arms, and heavy lab integration.
- Fast: No per-point calibration campaigns; the same instrument provides metrology and vibrometry.
- Versatile: Deployable in labs, factories, and field sites without dedicated installations.
How it works
Ommatidia Q2 extends Laser Doppler Vibrometry from directional, line-of-sight measurements to full-field 3D velocity vectors—using one single parallel-scanning Laser RADAR. By acquiring multiple Q2 views, registering them via spherical fiducials, and phase-aligning the data, the recovery software estimates the three velocity components at each surface point.
The result is a coherent 3D motion field suitable for FEM correlation, modal analysis, ODS, and strain-ready outputs.
Operational benefits
- Per view, Q2 acquires a point cloud, beam directions, and line-of-sight (LoS) velocity at illuminated points.
- For each surface point seen from three or more independent directions, the 3D velocity vector is solved from the LoS projections; extra views improve robustness via weighted least squares.
- Local quality indicators assess observation count, residuals, and geometric conditioning.
- Export allows advanced visualisation and further processing in commercial FEA/engineering software packages.
Proof points
Plan as a single coordinated campaign, not isolated scans.
- Use Ommatidia planner tools to evaluate spatial coverage, sampling density, geometric consistency, phase consistency, and repeatable signal quality across views.
- Generate synthetic datasets to load in the reconstruction tool.
- Compare agains the ground truth to assess the effect of different experimental protocols, reconstruction algorithms and conditions (sampling, noise, interpolation scheme, etc.).
PDFDownload application noteBreakthrough in 3D velocity field
Proof points
https://www.youtube.com/watch?v=pi3vfssHmQk
Webinar on the 3D Velocity & Strain Workflow
Talk to Ommatidia LiDAR
Discuss how this measurement approach could support applications workflows with the Ommatidia LiDAR team.
