November 05, 2026 | HALCON, Deep Learning, Webinar, America

Webinar: Advanced deep learning for industrial vision

Learn how to detect unexpected cases, adapt to changing production requirements, and develop more reliable deep learning applications for industrial machine vision.

High model accuracy alone does not guarantee reliable performance in production. Unknown defects, new product variants, and changing conditions can challenge even well-trained deep learning models.

In this free webinar, MVTec experts explore advanced methods for addressing these challenges and demonstrate practical approaches using MVTec HALCON.

November 5, 2026 I 6:00–6:45 PM (CET) – 45 min – English

Register now

What you'll learn

  • Detect the unexpected: Learn how Anomaly Detection and Out-of-Distribution Detection help identify unknown defects and unfamiliar inputs.
  • Adapt to change: Discover how Continual Learning helps you update existing models to handle new classes and changing production requirements.
  • Go beyond model accuracy: Understand how controlled decisions, validation, and operational feedback contribute to more reliable AI systems in production.

Who should attend

This webinar is designed for machine vision developers, engineers, and system integrators looking to advance their deep learning applications. Basic knowledge of deep learning is recommended.

Our speakers

Christian Parr, Application Engineer at MVTec.
Dirk Adler, Product Owner Deep Learning at MVTec.

Register now

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