Digital MVTec Technology Days – USA

After numerous successfully held seminars, we decided to expand the MVTec Technology Days to cover even more time zones. On October 13 and 14, our Deep Learning seminars will take place for the first time in the USA - organized by MVTec LLC. In the online seminar you will learn how to use deep learning in your image processing applications using the deep learning technology classification, object detection and semantic segmentation. On top of that, we give you first insights into anomaly detection.

About MVTec Technology Days

In small groups and different virtual rooms, our experienced trainers will show HALCON users what deep learning can accomplish within your application. In order to provide a hands-on approach to deep learning we ask you to organize a setup of a laptop and if possible a camera.

Day 1

With the help of the deep learning technology classification, you will learn how to use deep learning in your image processing applications.

• Introduction to HALCON-specific basics regarding deep learning
• Background knowledge about deep learning in industrial machine vision applications
• Best practices for setting up one's own deep learning applications
• "Hands-on" approach: programming a deep learning image classification application
• Analysis of a deep learning image classification

Special: Get first insights into the deep learning technology anomaly detection!

Day 2

With the deep learning technology object detection and semantic segmentation, you will learn how to use deep learning in your image processing applications.
Based on MVTec Technology Day 1, learn more about how to use the deep learning technologies object detection and semantic segmentation:

• Introduction to the MVTec Deep Learning Tool
• Introduction and best practices for the deep learning technologies object detection and semantic segmentation
• "Hands-on" approach to a deep learning problem for object detection – from labeling to inference
• Choosing the right deep learning method for your own application

Please note that seats are limited ("first come - first serve").