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Videos & tutorials

On this page you will find various videos and tutorials about our software products HALCON, MERLIC and the Deep Learning Tool.

If you are completely new to HALCON or MERLIC, these are a few tutorial recommendations to get you started:

Tutorial | HALCON

Working with XYZ mappings (MVTec HALCON)

In this tutorial, you will learn about XYZ mappings in MVTec HALCON, why they are useful, and how to work with them efficiently.
Tutorial | HALCON

Working with 3D object models

In this tutorial, we’ll have a look at 3D object models within MVTec HALCON.
Deep Learning | Tutorial | HALCON

Global context anomaly detection in MVTec HALCON

In this tutorial, you will learn about using deep-learning-based global context anomaly detection in MVTec HALCON.
Webinar | HALCON

MVTec HALCON 22.11 – New Features Webinar

HALCON 22.11 available since November, 22th! MVTec HALCON is a comprehensive standard software for machine vision for individual applications in…
MVBites | HALCON

Supermarket inventory automation

Having supermarket shelves filled with products throughout the day can be a daunting and repetitive task.
MVBites | HALCON

Leather inspection and classification with HALCON

Another successful implementation of HALCON’s deep learning technologies in the classification of leather types and quality inspection with two…
MVBites | HALCON

Anomaly Detection Datasets

MVTec’s research department has taken anomaly detection to the next level with a comprehensive dataset and created 30 different anomaly detection…
MVBites | HALCON

Anomaly detection in metal parts

MVTec’s HALCON developed a combination of rule-based and deep-learning-based approaches for faster, easier and more precise defect detection in the…
Webinar | MERLIC

MVTec MERLIC 5.2 – New Features Webinar

MERLIC 5.2 available since October, 20th! MVTec MERLIC is an all-in-one software product for quickly building machine vision applications without any…
mvbites halcon
MVBites | Deep Learning | HALCON

Quality control of baked goods

Using MVTec’s HALCON deep learning, the quality control system for baked goods is able to analyze up to 140 pieces per minute 24 hours a day!
mvbites deep learning
MVBites | HALCON

2D deep learning for shelf slot identification

Using 2D Deep Learning technologies, MVTec’s HALCON is able to identify where the goods will be stored and if there is enough storage space on…
MVBites | Deep Learning | HALCON

Anomaly detection with deep learning for safe welding

To inspect the welding process of its modular BLS 500 laser system and fully automate it, Manz, a high-tech machine manufacturer, relies on machine…
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