Diploma in Vision-Guided Integration for Welding
Online postgraduate diploma of 800 hours in vision-guided integration for welding: 8 modules covering machine vision in robotic welding, vision system calibration, joint detection and localisation, real-time seam tracking, robot–vision–power source integration, visual bead inspection and validation under ISO 10218-1:2025, ISO 10218-2:2025 and ISO 5817:2023, 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
Select suitable vision technologies to guide robotic welding.
Calibrate camera–robot systems and laser planes accurately.
Detect and locate joints in images and point clouds.
Implement real-time seam tracking with path correction.
Integrate vision, robot and welding power source in a cell.
Inspect beads automatically using ISO 5817 criteria.
Validate the accuracy and repeatability of the guided system.
Who it's for
- Machine vision engineers.
- Welding robotics integrators.
- Robot programmers.
- Welding process engineers.
- Robotics R&D engineers.
- Welded joint quality technicians.
- Engineering or science graduates seeking to move into the automotive industry.
What you'll work with
- ISO 10218-1:2025 (industrial robot safety — robots)
- ISO 10218-2:2025 (industrial robot safety — applications and cells)
- ISO 5817:2023 (quality levels for imperfections in welds)
- ISO 9283:1998 (robot performance criteria and test methods)
- EMVA 1288 (camera characterisation standard)
- ISO 3834-2:2021 (quality requirements for fusion welding)
- VDI/VDE 2634 Part 2 (acceptance of optical 3D measuring systems)
- IEC 60825-1:2014 (safety of laser products)
- MVTec HALCON
- OpenCV
- Meta Vision tracking systems
- ROS 2
- ABB RobotStudio
8 modules
1.1The need for guidance given part tolerances1.22D versus 3D vision1.3Laser triangulation sensors1.4Stereo cameras and structured light1.5Time of flight and its limits1.6The harsh environment of arc and spatter1.7Camera-in-hand and fixed-camera architectures1.8Suppliers and commercial systems1.9Cost and return of guidance1.10Case study: analysis of rejects due to joint mismatch
2.1Pinhole camera model and distortion2.2Intrinsic calibration with patterns2.3Hand–eye calibration2.4Laser plane calibration2.5Robot–camera–part coordinate systems2.6Calibration errors and their propagation2.7Periodic calibration verification2.8Thermal compensation2.9Calibration tools in OpenCV and HALCON2.10Laboratory: hand–eye calibration of a robot-mounted camera
3.1Butt, fillet and lap joint types3.2Laser profile extraction3.3Point cloud segmentation3.4Edge and feature detection3.5CAD model registration with ICP3.6Measurement of gap and misalignment3.7Locating start points3.8Robustness against reflections3.9Deep learning for joint detection3.10Practical exercise: locating a fillet joint in a point cloud
4.1Seam tracking with a leading laser sensor4.2Through-arc weaving tracking4.3Path correction loops4.4Latency and correction frequency4.5Sensor interfaces with the robot controller4.6Height and lateral correction4.7Adapting parameters to the gap4.8Handling tracking loss4.9Tracking validation4.10Workshop: path correction with a triangulation sensor
5.1Communication with robot controllers5.2EtherNet/IP and PROFINET protocols5.3Integration with the welding power source5.4Offline programming with vision correction5.5Synchronising triggers and motion5.6Per-part recipe management5.7HMI and system diagnostics5.8Safety of the cell with vision5.9ROS 2 in welding applications5.10Practical exercise: integrating a tracking sensor with a robot controller
6.1Profile and reinforcement measurement6.2Detection of surface pores and undercut6.3Comparison with ISO 58176.4In-line post-weld inspection6.5Classification with neural networks6.6Generating labelled datasets6.7False positives and negatives6.8Per-part image traceability6.9Feedback to the process6.10Case study: 3D bead inspection on a welded structure
7.1Accuracy and repeatability metrics7.2Measurement system analysis in vision7.3Tests with limit-tolerance parts7.4Qualification of the guided cell7.5Maintenance of optics and protective covers7.6Cycle time and productivity7.7Operator training7.8Economic analysis of the investment7.9Lessons from real deployments7.10Practical exercise: repeatability study of joint localisation
8.1Definition of the part and joint8.2Sensor and architecture selection8.3System calibration8.4Detection and tracking algorithm8.5Integration with robot and power source8.6Bead inspection8.7Performance validation8.8Technical and economic evaluation8.9Report 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, making it compatible with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is MVTec HALCON, OpenCV, Meta Vision tracking systems, ROS 2 and ABB RobotStudio, in free, academic or evaluation versions. Tests are studied on real procedures: hand–eye calibration of a welding sensor, real-time seam tracking with laser triangulation, and 3D bead inspection. Assessment is continuous by module plus the final project.
Standards covered: ISO 10218-1:2025, ISO 10218-2:2025, ISO 5817:2023, ISO 9283:1998, EMVA 1288, ISO 3834-2:2021, VDI/VDE 2634 Part 2, IEC 60825-1:2014.
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. No university degree is required.
- 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 MVTec HALCON, OpenCV, Meta Vision tracking systems, ROS 2 and ABB RobotStudio, 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 capable of running the 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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