LOG OUT
| Deep Learning, Webinar

Webinar: 5 steps to start with AI in Machine Vision

You know you need to adopt modern AI methods to stay competitive, hit quality targets, and cut time-to-production – but internal hurdles keep pushing it off. MVTec has delivered production-ready machine-vision AI since 2017 and partners with you from concept to deployment, fast. In this webinar, we will walk you through five practical steps to adopt deep learning in your machine vision projects — from first concept to real-world application.

What you’ll learn

  • Understand the 5 key steps to implement deep learning.
  • Learn from real industrial examples and best practices.
  • See how no-code tools accelerate your first AI project.

Register now

Who should attend

  • Engineers (machine vision, automation, PLC): add deep learning without coding and integrate with existing lines/standards.
  • Quality & production leads: reduce scrap, improve yield, and speed up inspections.
  • Operations/decision-makers (incl. integrators): choose a low-risk path from pilot to production and scale confidently.

Your speaker

Ulf Schulmeyer, Dipl.-Ing., is Product Manager for MVTec MERLIC and has over 20 years of experience turning complex software into intuitive, real-world solutions.

His deep understanding of both industrial processes and user needs makes him an expert at bridging theory and practice in machine vision. At MVTec, he drives the development of MERLIC — a no-code platform that makes deep learning accessible to everyone.

Facts

Date: November 25, 2025
Time: 14:00 CET (Munich / Paris) | 08:00 EST (New York) | 05:00 PST (San Francisco) |
21:00 CST (Beijing / Shanghai / Taipei) | 22:00 JST & KST (Tokyo / Seoul)
Duration: 30 minutes
Language: English

Can’t attend live? Register to receive the recording!

Back
calendarIMPORT CALENDAR EVENT