Partner Area

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:

Thumbnail HALCON 20.11 webinar
Video | HALCON

Webinar: MVTec HALCON 20.11 – New Features

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
Tutorial | HALCON

Introduction to image filters with 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.
Tutorial | Deep Learning | HALCON

Deep-Learning-Based Anomaly Detection with MVTec 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…

Tutorial about bar code reading with MVTec HALCON.
Tutorial | HALCON

How to read bar codes with MVTec HALCON

In this tutorial you'll learn how to read bar codes with MVTec HALCON. Most bar codes can be read with default parameters using just two operators,…

Here you can watch the recorded webinar about the new features in HALCON 20.05.
Video | HALCON

Webinar: MVTec HALCON 20.05 – New Features

In this recorded webinar, HALCON's product manager Mario Bohnacker presents all improvements and new features in the new version of MVTec HALCON,…

Here you can watch a video tutorial about HALCON's object detection and how to apply the trained and evaluated model.
Tutorial | HALCON

HALCON's Deep-Learning-Based Object Detection 4: Apply the Model (Inference)

In the last part of this tutorial series on HALCON's object detection, we will apply the model we trained and evaluated previously.

You will learn…

Video of how to evaluate a trained model for object detection.
Tutorial | HALCON

HALCON's Deep-Learning-Based Object Detection 3: Evaluate the Trained Model

In the third part of this tutorial series on HALCON’s object detection, we will evaluate the deep-learning-based object detection model we trained in…

Video about how to train a model for deep-learning-based object detection
Tutorial | HALCON

HALCON's Deep-Learning-Based Object Detection 2: Train a model

In the second part of this tutorial series on HALCON’s object detection, you will learn how to train a deep-learning-based object detection model with…

Video about preparation of datasets for object detection.
Tutorial | HALCON

HALCON's Deep-Learning-Based Object Detection 1: Introduction & Preparation of the Dataset

In the first part of this tutorial series on HALCON's object detection, you will learn what object detection actually is, and what kinds of…

MVTec HALCON's Deep Learning basics
Tutorial | Deep Learning | HALCON

HALCON Deep Learning Basics: Workflow, data & model

In this tutorial, we’ll have a look at the recommended workflow when working with deep learning in MVTec HALCON.

Thanks to the common model-based…

Video about MVTec HALCON's anomaly detection.
Video | Deep Learning | HALCON

Anomaly Detection with MVTec HALCON

HALCON's deep-learning-based anomaly detection allows you to easily detect whether images contain deviations from known training data. To train this…

Watch in this tutorial to learn how to integrate HDevelop code into a C# application
HALCON | Tutorial

Integrate HDevelop code into a C# application using the Library Project Export

In this tutorial, you will learn how to integrate machine vision code developed with HDevelop into an existing C# Visual Studio application.

For…