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:

Crop protection is an important part of plant cultivation to ensure high yields and best quality. Increasing resistance and ever stricter regulations…

With Deep OCR, MVTec introduces a holistic deep-learning-based approach for optical character recognition (OCR). Deep OCR can localize numbers and…

A good integration of your vision application into the manufacturing process can increase your product quality and efficiency. The standardized MQTT…

The automation of processes in greenhouses using machine vision technologies makes it possible to better meet the increasing demand and requirements…

The new version HALCON 21.05 is available since Mai 21, 2021. In this webinar, Mario Bohnacker, Technical Product Manager HALCON at MVTec, talks about…

In this video the MERLIC preview feature "Anomaly Detection" is illustrated with the help of a live demo. Deep-learning-based anomaly detection…

This video explains MERLIC's OPC UA server and process integration on the example "checking presence of fuses". For communication the free 3rd party…

In this tutorial, you'll learn how to apply print quality inspection to bar and data codes with MVTec HALCON.

We’ll focus on the international…

With the MVTec Deep Learning Tool it’s possible to train a deep-learning-based classification model from scratch.

First, we import images of your…

Thumbnail HALCON 20.11 webinar

The new version HALCON 20.11 is available since November 20, 2020. In this webinar, Mario Bohnacker, Technical Product Manager HALCON at MVTec, talks…

screenshot of HDevelop with filters in MVTec HALCON

In this tutorial, you’ll learn about some of the most commonly used image filters in MVTec HALCON, how they work, and what they can be used for.

This tutorial shows how to use anomaly detection in HALCON.

In this tutorial you will learn how to train a deep-learning-based Anomaly Detection model for your own application.

First, we will take a look at…