Master’s in 3D Vision for Metrology Engineering
Online master's programme of 1,900 hours in 3D vision engineering for metrology, structured in 12 modules covering calibration, 3D acquisition, point cloud processing, CAD comparison, measurement uncertainty and in-line metrology according to ISO 10360-8:2013, VDI/VDE 2634 Part 2 and the GUM, with an assigned technical tutor.
Take the controls.
Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Apply projective geometry to 3D measurement.
Calibrate 3D vision systems and scanners.
Select acquisition technologies according to the task.
Process point clouds and compare them with CAD.
Estimate the measurement uncertainty of optical systems.
Integrate 3D metrology into production lines.
Manage metrology in line with quality standards.
Who it's for
- 3D metrology engineers looking to deepen their command of optical measurement.
- Optical inspection technicians moving into calibration and uncertainty analysis.
- Dimensional quality engineers who need to work with scanners and point clouds.
- Reverse engineering specialists.
- Metrology laboratory managers.
- Integrators of measuring cells.
- Engineering or science graduates seeking to enter the automotive sector.
What you'll work with
- ISO 10360-8:2013 (acceptance and reverification tests for CMMs with optical distance sensors)
- VDI/VDE 2634 Part 2 (optical 3D measuring systems based on area scanning)
- JCGM 100:2008 (GUM) (guide to the expression of uncertainty in measurement)
- ISO 14253-1:2017 (decision rules for verifying conformity with specifications)
- ISO 1101:2017 (geometrical tolerancing: form, orientation, location and run-out)
- ISO/IEC 17025:2017 (competence of testing and calibration laboratories)
- ISO 10012:2003 (measurement management systems)
- JCGM 101:2008 (propagation of distributions using a Monte Carlo method)
- GOM Inspect
- PolyWorks
- Open3D
- Point Cloud Library
- MATLAB
12 modules · 1900 h
1.1Pinhole camera model and distortions1.2Epipolar geometry and the fundamental matrix1.3Point triangulation1.4Rigid and homogeneous transformations1.5Representation of rotations1.6Part coordinate systems1.7Least-squares fitting1.8Propagation of geometric errors1.9GD&T tolerance notation1.10Practical: stereo triangulation with OpenCV
2.1Camera calibration with patterns2.2Stereo calibration and rectification2.3Projector calibration2.4Calibration of laser line scanners2.5Hand-eye calibration for robots2.6Reference artefacts and spheres2.7Thermal stability of calibration2.8Periodic calibration verification2.9Industrial calibration software2.10Lab: calibration of a stereo system
3.1Laser line triangulation3.2Fringe projection and phase shifting3.3Gray code and coded patterns3.4Active stereo with random patterns3.5Time-of-flight and short-range LiDAR3.6White-light interferometry3.7Confocal microscopy and focus variation3.8Large-volume photogrammetry3.9Selection by accuracy and volume3.10Case study: choosing a sensor for car bodies
4.1Noise and outlier filtering4.2Resampling and voxels4.3Normal and curvature estimation4.4Plane segmentation with RANSAC4.5Meshing and surface reconstruction4.6Multi-view fusion4.7ICP alignment and its variants4.8PCL and Open3D libraries4.9Handling shiny surfaces4.10Practical: cleaning and meshing a point cloud
5.1Best-fit and RPS alignment5.2Colour deviation maps5.3Extraction of geometric features5.4Evaluation of form tolerances5.5Evaluation of position and orientation5.6Automatic inspection reports5.7STEP, STL and QIF formats5.8GOM Inspect and PolyWorks software5.9Interpretation of results5.10Workshop: inspecting a part against CAD
6.1Error sources in optical sensors6.2Evaluation according to the GUM6.3Monte Carlo simulation of uncertainty6.4Tests according to VDI/VDE 26346.5Probing and length errors6.6ISO 10360-8 for optical sensors6.7Influence of the surface6.8ISO 14253-1 decision rule6.9Uncertainty budget6.10Practical: uncertainty budget for a scanner
7.1100% inspection in production7.2Robotic measuring cells7.3Synchronisation with conveyors7.4Cycle time and coverage7.5Gap and flush measurement7.6Inspection of welds and beads7.7Temperature compensation7.8Integration with statistical process control7.9Communication with MES7.10Case study: in-line gap and flush measurement
8.1PointNet and PointNet++ networks8.2Point cloud segmentation8.33D defect detection8.46D pose estimation8.5Completion of occluded geometry8.6Synthetic data from CAD8.72D and 3D fusion8.8Edge inference8.9Limits of AI in metrology8.10Lab: point cloud classification with PointNet
9.1X-R control charts9.2Cp and Cpk capability indices9.3Measurement system analysis9.4Gage R&R studies on 3D sensors9.5Correlation with coordinate measuring machines9.6Detection of trends and drifts9.7Multivariate analysis of deviations9.8Reports for the customer9.9Non-conformity management9.10Practical: capability study with 3D data
10.1Automotive: car bodies and stamping10.2Aeronautics: surfaces and rivets10.3Casting and forging: machining allowances10.4Additive manufacturing: part inspection10.5Energy: turbine blades10.6Reverse engineering of components10.7Heritage and large volumes10.8Electronics: component coplanarity10.9Medicine: implants and prostheses10.10Case study: blade inspection
11.1Management systems according to ISO 1001211.2Accreditation according to ISO/IEC 1702511.3Equipment calibration plans11.4Metrological traceability chain11.5Measurement procedures11.6Validation of measurement software11.7Training of metrologists11.8Laboratory audits11.9Cost of quality11.10Workshop: documented measurement procedure
12.1Definition of the metrological task12.2Selection of the 3D technology12.3System calibration and verification12.4Point cloud processing and CAD comparison12.5Uncertainty calculation12.6Integration into the production process12.7Capability analysis and results12.8Conclusions and improvements12.9Master's Thesis report12.10Master's Thesis: defence before a panel
How you'll learn
100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within each intake, so the programme is compatible with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is GOM Inspect, PolyWorks, Open3D, Point Cloud Library and MATLAB, in free, academic or evaluation versions. Tests are studied on real procedures: inspection of parts against the CAD model, scanner uncertainty budgets and capability studies with 3D data. Assessment is continuous by module, plus the final Master's Thesis.
Standards covered: ISO 10360-8:2013, VDI/VDE 2634 Part 2, JCGM 100:2008 (GUM), ISO 14253-1:2017, ISO 1101:2017, ISO/IEC 17025:2017, ISO 10012:2003, JCGM 101:2008.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Where this takes you
Requirements
- University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
- Internet connection and a computer capable of running the programme software.
- English sufficient to read technical standards.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme totals 1,900 hours over 12–14 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.
You work with GOM Inspect, PolyWorks, Open3D, Point Cloud Library and MATLAB, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.
A SEIUM Institute diploma, awarded on passing the continuous assessment and the Master's Thesis. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.
Yes. Modules passed in a course or postgraduate diploma in the same area are recognised in the higher programme. Ask about the recognition policy when you enrol.
A university degree in engineering, science or architecture, or equivalent professional experience, plus English sufficient to read technical standards.
Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.
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