Diploma in Vision-Assisted GD&T and Dimensional Control
Online postgraduate diploma of 800 hours in vision-assisted GD&T and dimensional inspection. 8 modules covering the GD&T language, machine vision for metrology, geometric tolerance evaluation, in-line dimensional inspection, AI for inspection, measurement system capability and statistical quality control, 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
Interpret GD&T specifications according to ASME and ISO.
Design machine vision systems with metrological capability.
Evaluate geometric tolerances from vision data.
Integrate dimensional inspection into production lines.
Apply AI techniques to inspection with sound validation criteria.
Determine measurement system capability with MSA and VDA 5.
Use statistical control to feed back into manufacturing.
Who it's for
- Metrology engineers adding vision-based measurement to their toolkit.
- Machine vision engineers who need a solid grasp of GD&T.
- Dimensional inspection technicians in production environments.
- Quality engineers responsible for measurement capability.
- Inspection system integrators.
- Process engineers who use measurement data to adjust production.
- Engineering or science graduates seeking to enter the automotive sector.
What you'll work with
- ASME Y14.5-2018 (dimensioning and tolerancing)
- ISO 1101:2017 (geometrical tolerancing)
- ISO 5459:2011 (datums and datum systems)
- ISO 14405-1:2016 (dimensional tolerancing of linear sizes)
- ISO 14253-1:2017 (decision rules for verifying conformity with specifications)
- ISO 10360-6:2001 (estimation of errors in computing Gaussian associated features)
- VDA 5 (capability of measurement processes)
- AIAG MSA 4th edition (measurement systems analysis)
- Halcon
- Cognex VisionPro
- PolyWorks Inspector
- Minitab
- OpenCV
8 modules
1.1Principles of ASME Y14.5 and ISO GPS1.2Differences between ASME and ISO1.3Form characteristics1.4Orientation and location1.5Profile of a line and of a surface1.6Runout and concentricity1.7Datum systems and datums according to ISO 54591.8MMC and LMC material modifiers1.9Size tolerances according to ISO 14405-11.10Workshop: interpreting a drawing with GD&T
2.1Components of a vision system2.2Area-scan and line-scan cameras2.3Telecentric optics and depth of field2.4Backlight and structured illumination2.5Metric camera calibration2.6Sub-pixel edge measurement2.7Laser triangulation 3D sensors2.8Structured light systems2.9Resolution and field-of-view limits2.10Lab: measuring diameters with telecentric optics
3.1Associated features and fitting criteria3.2Least-squares and Chebyshev fitting3.3Evaluating flatness and straightness3.4Evaluating roundness and cylindricity3.5Constructing datums from point clouds3.6Position evaluation with tolerance zones3.7Bonus tolerance from material condition3.8Surface profile evaluation3.9Algorithm verification according to ISO 10360-63.10Lab: evaluating flatness and position in Python
4.1100% inspection versus sampling4.2Integrating vision into the line4.3Cycle times and throughput4.4Part handling and positioning4.5Communication with PLC and MES4.6Robustness to environmental variation4.7Temperature compensation4.8Part rejection and traceability4.9System maintenance4.10Practical exercise: simulated in-line inspection station
5.1Feature segmentation with neural networks5.2Surface defect detection5.3Combining classical metrology and learning5.4Part datasets and annotation5.5Uncertainty of AI-based measurements5.6Validating inspection models5.7Explainability for operators5.8Deployment on edge devices5.9Risks and limits of AI in metrology5.10Lab: edge segmentation with a U-Net network
6.1Gauge R&R studies6.2AIAG MSA method6.3VDA 5 procedure6.4Uncertainty according to the GUM6.5Decision rules according to ISO 14253-16.6Standards and master parts6.7Bias and linearity6.8Long-term stability6.9Measurement system acceptance6.10Practical exercise: R&R study of a vision system
7.1Statistical process control7.2X-R and I-MR control charts7.3Cp and Cpk capability indices7.4Feedback to the manufacturing process7.5Control plans and process FMEA7.6IATF 16949 requirements7.7Digital traceability of measurements7.8QIF format for results7.9Continuous improvement with vision data7.10Case study: position control of drilled holes in series production
8.1Drawing analysis and critical tolerances8.2Vision system design8.3Calibration and metrological validation8.4GD&T evaluation algorithms8.5Simulated in-line integration8.6Measurement capability study8.7Statistical control plan8.8Conclusions and improvement proposals8.9Report and presentation8.10Final project: final review with the tutor
How you'll learn
Training is 100% online 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 fits alongside your job.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Halcon, Cognex VisionPro, PolyWorks Inspector, Minitab and OpenCV, in free, academic or evaluation versions. Case studies are based on real procedures: non-contact measurement of diameters and positions, R&R studies of vision systems and in-line inspection of machined parts. Assessment is continuous by module, plus the final integrating project.
Standards covered: ASME Y14.5-2018, ISO 1101:2017, ISO 5459:2011, ISO 14405-1:2016, ISO 14253-1:2017, ISO 10360-6:2001, VDA 5, AIAG MSA 4th edition
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
- Prior technical training or professional experience in the sector. A university degree is not required.
- An 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 800 hours over 6–8 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.
You work with Halcon, Cognex VisionPro, PolyWorks Inspector, Minitab and OpenCV, 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 final project. 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 are recognised in a higher programme in the same area (postgraduate diploma or master's). Ask about the recognition policy when you enrol.
Prior technical training or professional experience in the sector (no university degree required), a computer able to run the programme software and 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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