Quality Inspection with Visual AI

Event address
Join us for an exciting, hands-on workshop that opens the door to cutting-edge AI technology—no coding or technical background required! You'll dive into the world of AI-powered defect detection, learning how to transform raw data into actionable insights.
In this interactive session, you'll master the essentials:
- gathering and annotating data
- leveraging powerful AI models to detect flaws with precision.
With easy-to-follow exercises, you'll experience the full workflow of defect detection and leave equipped with the skills to apply AI to real-world quality control challenges.
Ready to explore how AI can revolutionize defect detection?
We have reached maximum capacity for this training session. You can register for the extra training session on March 10th.
Your Teachers
Sina Ditzel, Emma van Doren and Manuel Arteaga are Computer Vision Researchers at Flanders Make, with extensive experience in helping companies develop defect detection solutions.
Sina Ditzel previously worked at Goethe University Frankfurt's AI Systems Engineering Lab, researching hybrid systems that blend data-driven and model-based approaches. She graduated with multiple awards and contributed to the university's robotics team, researching autonomous humanoid robots for soccer.
Practical Information
Tuesday February 11 2025, Flanders Make Leuven
Programme
09:00 - Welcome coffee
09:30-12:00 - Introduction to AI for defect detection and hands-on dataset collection
12:00-13:00 - Lunch
13:00-16:00 - Hands-on AI training: Train your AI defect detector
Language: English
Participation requirements: Interest in AI and Computer Vision. Basic programming skills (Python) can be helpful but are not required. Participants need to bring their own laptop.
Participation is free of charge, please register via the form below.
Registration
We have reached maximum capacity for this training session. You can register for the extra training session on March 10th.
This training is part of the Digital Europe project "RebootSkills".