29 January 2026 | 11:00 AM (CET)
 Live on ZOOM

Most defects don’t follow rules.
So why should your inspection system?

In real production, the biggest quality risks are not the defects you already know – but the ones you haven’t seen yet.
New materials. New suppliers. New processes. New failure modes.

With classic rule-based vision – and even many AI solutions – every new defect means new data, new training, new effort.

EyeVision takes a different approach.

In this webinar, EVT shows how AI-based anomaly detection in EyeVision enables reliable surface inspection without predefined defect classes and without massive defect datasets.

You will learn how EyeVision’s deep learning technology:

• Detects deviations from normal production instead of relying on known defect patterns
• Uses self-learning anomaly detection – no pre-training on defects required
• Combines pre-trained networks with transfer learning for fast deployment
• Integrates seamlessly into existing (EyeVision) inspection systems – no data science team needed
• Runs directly in industrial environments, not only in R&D or the cloud

What you will see in this webinar

• How anomaly detection works inside EyeVision Software
• Real application examples from surface inspection across industries
• How to set up anomaly detection with minimal data and effort
• Where anomaly detection complements classical AI, and where it replaces it
• Practical tips for stable results in changing production conditions

This is not a theoretical AI showcase.
This is production-ready anomaly detection – engineered for real factories, real constraints, and real quality targets.

If you are responsible for quality assurance, automation, or production efficiency, this webinar will show you how EyeVision helps you move from reacting to defects to controlling quality risks before they escalate.