Application Example, MERLIC

How machine vision and AI support humans in complex assembly

Can AI improve manufacturing without replacing people? Discover how Endress+Hauser successfully integrated MVTec MERLIC into its production environment to support employees during complex manual assembly while improving quality, efficiency, and traceability.

Instead of replacing skilled workers, MVTec MERLIC works alongside production staff by displaying assembly instructions, verifying critical assembly steps, detecting missing components, and documenting process and image data for complete quality assurance. In this customer success story, you'll learn how Endress+Hauser combines AI-powered machine vision, deep learning, and seamless MES integration to simplify complex assembly processes involving high product variation and batch sizes as small as one.

In this video you'll discover:

Why full automation wasn't the right solution.
How MERLIC assists employees during manual assembly.
How MERLIC integrates directly with existing MES infrastructure.

If you're looking to modernize manufacturing with machine vision, AI, and digital assembly assistance, this real-world application demonstrates how people and technology can work together to achieve outstanding production quality.

Video

Please note: Once you watch the video, data will be transmitted to Youtube/Google. For more information, see Google Privacy.

APPLICATIONS, FEATURES & MORE

Further videos

Newest features of MVTec HALCON 26.05

In this webinar, Jan Gaertner (Product Manager HALCON) and Agnes Weinhuber (Application Engineer) guide you through the new features of the new version of HALCON.

Feature Presentation

Webinar

HALCON

AI inspection: From proof of concept to production

Learn how to turn a promising AI inspection proof of concept into a production-ready solution. This webinar shows how to manage image data, develop the complete application, and integrate it into a real production environment with MVTec MERLIC.

Webinar

Deep Learning

MERLIC

MVTec MERLIC software box new version

MERLIC 26.03 Webinar – New features

Learn all about MVTec MERLIC 26.03 in this webinar presented by Ulf Schulmeyer (MERLIC Product Manager) and Florian Aumeier (Application Engineer).

Feature Presentation

MERLIC

Webinar: Newest features of HALCON 25.11

In this webinar, Jan Gärtner (Product Manager HALCON) and Neelkant Kashyap (Application Engineer) guide you through the new features of the new version of HALCON.

Feature Presentation

HALCON

5 steps to get started with AI in machine vision

Learn how to bring deep learning into real machine-vision applications with a clear, practical roadmap. Since 2017, MVTec has delivered production-ready AI that runs reliably on the factory floor.

Webinar

Deep Learning

MERLIC 5.8 Webinar: New features

Learn all about MVTec MERLIC 5.8 in this webinar presented by Ulf Schulmeyer (MERLIC Product Manager) and David Hadlich (Application Engineer).

Feature Presentation

MERLIC

MVTec HALCON 18.11 – New Features

Explore HALCON 18.11: new deep learning for classification, segmentation, detection, plus developer-friendly dictionaries.

Feature Presentation

HALCON

New registration feature of the MVTec Software Manager

Excerpt from our 23.11 HALCON webinar, where the new features of the Software Manager were presented, including the new registration feature.

Feature Presentation

Deep 3D Matching in MVTec HALCON

Deep 3D Matching: Fast, robust 3D object detection from 2D images—perfect for bin picking and robotics, even in challenging conditions.

Feature Presentation

HALCON

How to maximize the yield in wafer production

Inspecting wafers is extremely challenging due to their reflective surfaces, microscale defects, and the need for high precision. This is where machine vision makes the difference: by enabling automated, robust, and highly efficient optical inspectio…

Webinar

HALCON

Webinar: Newest features of HALCON 25.05

In this webinar, Jan Gärtner (Product Manager HALCON) and Neelkant Kashyap (Application Engineer) guide you through the new features of the new version of HALCON.

Feature Presentation

HALCON

MERLIC 5.7 Webinar: New features

Learn all about MVTec MERLIC 5.7 in this webinar presented by Ulf Schulmeyer (MERLIC Product Manager) and Xin Jin (Application Engineer).

Feature Presentation

MERLIC

Webinar: Newest Features of HALCON 24.11

In this webinar, Jan Gärtner (Product Manager HALCON) and Benedikt Wörz (Application Engineer) guide you through the new features of the HALCON 24.11.

Feature Presentation

HALCON

MERLIC 5.6 Webinar: Easier process integration, live demos and useful tips & tricks

Learn all about MVTec MERLIC 5.6 in this webinar presented by Ulf Schulmeyer (MERLIC Product Manager) and Xin Jin (Application Engineer).

Feature Presentation

MERLIC

Quality Inspection: Find defects quickly & precisely with deep-learning-based machine vision

What does an automated quality inspection workflow with machine vision look like? Find out how deep learning can improve the efficiency of your production line.

Quality inspection

Deep Learning

How to setup and use line scan camera with MVTec HALCON

In this tutorial, we show how we set up image acquisition with line scan cameras in MVTec HALCON—from trigger setup to shading correction for accurate results.

Step-by-step tutorial

HALCON

Introduction to Line Scan Cameras

In this video, we would like to give you a first introduction to line scan cameras.

Step-by-step tutorial

HALCON

How to use the MVTec Software Manager

HALCON, MERLIC, and the DLT just one download away. In this tutorial, you will learn about the MVTec Software Manager.

Step-by-step tutorial

Configuring image sources with the Image Source Manager (MVTec MERLIC)

In this tutorial, you will learn how to use MVTec MERLIC’s Image Source Manager (ISM).

Step-by-step tutorial

MERLIC

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.

Step-by-step tutorial

HALCON

Working with 3D Object Models

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

Step-by-step 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.

Step-by-step tutorial

Deep Learning

HALCON

Supermarket inventory automation

In this tutorial, we show how we use MVTec HALCON and deep learning to let a robot check supermarket shelves after hours and classify each slot as either full or empty.

Application Example

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 real-world applications.

Application Example

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 metalworking industry.

Application Example

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 scenarios

Application Example

HALCON

Train and evaluate a Global Context Anomaly Detection Model with the Deep Learning Tool

After watching this tutorial, you will know how to use the MVTec Deep Learning Tool to train and evaluate a model for Global Context Anomaly Detection.

Step-by-step tutorial

Deep Learning Tool

Global Context Anomaly Detection with MVTec MERLIC

In this tutorial, you will learn how to use MVTec MERLIC’s “Detect Anomalies in the Global Context”-Tool, which features MVTec’s state of the art technology Global Context Anomaly Detection. This tool allows MERLIC users to detect logical and structu…

Step-by-step tutorial

MERLIC

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!

Quality inspection

Application Example

Deep Learning

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 shelves.

Application Example

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 vision using the standard software MVTec HALCON.

Application Example

Deep Learning

HALCON

Deep learning evaluation report

Deep learning evaluation reports just got easier to generate with MVTec’s Deep Learning Tool! Watch the video to see how.

Application Example

Deep Learning Tool

How to calibrate your camera setup successfully with MVTec HALCON

In this tutorial, we explain when camera calibration is needed, how it works in MVTec HALCON, and what to consider to achieve reliable measurement results.

Step-by-step tutorial

Calibration Plates

HALCON

Global Context Anomaly Detection by MVTec

In this tutorial, you will learn about deep-learning-based global context anomaly detection by MVTec. With this technology, you can detect structural and logical anomalies in your images.

Step-by-step tutorial

Deep Learning

Inspection of drilled holes on furniture parts

In collaboration with MVTec's distributor, The Imaging Source, industrial automation solutions provider, Teomsi Electric Company developed an inspection system in cooperation with Ecolor for their furniture factory.

Application Example

HALCON

Bin picking application with MVTec HALCON boosts productivity

For a customer in the field of veterinary medicine, Pose Automation GmbH, a Certified Integration Partner of MVTec, developed a tailor-made robotic cell in which catheters are sorted into a packaging machine. The robust and flexible machine vision so…

Application Example

HALCON

Quality Control with Deep OCR from MERLIC

Deep OCR is a holistic deep-learning-based approach for OCR. This new technology brings machine vision one step closer to human reading.

Quality inspection

Application Example

Deep Learning

MERLIC

3D transformation with MVTec HALCON

In this video-tutorial, we will take a deep dive in 3D transformations and poses with MVTec HALCON.

Step-by-step tutorial

HALCON

Automated defect-inspection of train rooftops

Automated defect inspection of train rooftops: With MVTec HALCON, high-speed train inspections shrink from 1.5 hours to just 10 minutes—all while trains are moving!

Application Example

HALCON

Supervise your machines with HALCON generic sockets

Going on vacation but need to supervise the machines? See how Tom uses HALCON generic sockets to relax and enjoy his vacation without worrying about work.

Application Example

HALCON

Smart pepper harvesting by SWEEPER

The implementation of robotics and sensing technologies as an alternative solution makes crop production more efficient and sustainable.

Application Example

HALCON

Fast and performant inspection of rice grains with HALCON Embedded

Japanese company Kett Electric Laboratory develops and sells an automated inspection system for rice grains, achieving human-level or even superior quality control with MVTec HALCON.

Application Example

HALCON

Automatic gas cylinder retest line

The Swiss Safety Center AG, part of a center of excellence in technical safety and risk management, offers a full portfolio for industry, retail, and commerce.

Application Example

HALCON

Ready for take off – HALCON, MERLIC & DLT bring you further

In this video, we show how MVTec HALCON and MERLIC solve even unusual tasks—from finding safe landing spots to reading tiny text in seconds.

Application Example

Shape-Based Matching

When using shape-based matching, there are many parameters and settings you might want to tweak if you have images where the standard parameters don’t find all matches. Find out how!

Step-by-step tutorial

HALCON

Easily label Deep OCR datasets with DLT 22.06

Learn about the main feature of Deep Learning Tool 22.06: Efficiently labeling datasets to retrain HALCON’s Deep OCR and boost recognition rates.

Feature Presentation

Deep Learning Tool

Optimize Quality Control with MERLIC 5

Incorrectly packed toast packages lead to disruptions in the production process. Find out how this challenge was solved with MERLIC 5.

Quality inspection

Application Example

MERLIC

How many persons are within a building?

You want to count the number of people that are entering and leaving a building? Watch this MVBite and learn all about it.

Application Example

HALCON

Smart labeling during a short coffee break with MVTec Deep Learning Tool

Join our research engineer Patrick to see how easy and robust the labeling works even for non-industrial objects.

Application Example

Deep Learning Tool

Working with XLDs in HALCON

In this tutorial, we show how to work with XLD contours in MVTec HALCON—detecting lines and circle segments, measuring widths, and analyzing geometric shapes.

Step-by-step tutorial

HALCON

Deep learning instance segmentation with HALCON

Have a look at deep-learning-based instance segmentation with MVTec HALCON and locate objects in an image.

Step-by-step tutorial

HALCON

Label instance segmentation data with the MVTec Deep Learning Tool

In this tutorial, you will learn how to label instance segmentation data with the MVTec Deep Learning Tool.

Step-by-step tutorial

Deep Learning Tool

Working with Dictionaries in HALCON

In this tutorial, we show how to create and use dictionaries in MVTec HALCON: store and access values, work with JSON, and pass them to and from procedures.

Step-by-step tutorial

HALCON

Deep OCR with MVTec MERLIC

In this tutorial, we show how we use MVTec MERLIC’s “Read Text and Numbers with Deep Learning” tool to apply Deep OCR, visualize results, and improve processing time.

Step-by-step tutorial

Deep Learning

MERLIC

Generic shape matching workflow – MVTec HALCON

Watch the generic shape matching workflow tutorial and learn how to set up and run shape matching in MVTec Vision Solutions.

Step-by-step tutorial

HALCON

Working with Tuples in MVTec HALCON

In this tutorial, we show how we work with control tuples in MVTec HALCON—creating, selecting, comparing, converting them and using them efficiently in HDevelop.

Step-by-step tutorial

HALCON

3D stereo surface reconstruction with MVTec HALCON

In this tutorial, we show how to perform 3D reconstruction with a stereo setup in MVTec HALCON—from disparities to surface fusion for robust point clouds.

Step-by-step tutorial

HALCON

Deep learning classification with MVTec MERLIC

In this tutorial, you will learn how to use MVTec MERLIC’s new “Classify Image”-Tool together with the Deep Learning Tool.

Step-by-step tutorial

Deep Learning

MERLIC

Deep learning anomaly detection with MVTec MERLIC

In this tutorial, we show how to use MVTec MERLIC’s deep-learning “Detect Anomalies” tool to inspect glass bottles for local defects using only a few good samples.

Step-by-step tutorial

Deep Learning

MERLIC

Approximate hand-eye calibration with MVTec HALCON (stationary 3D sensor)

In this tutorial, we show how we use HDevelop and MVTec HALCON to set up a quick hand-eye calibration between a 3D sensor and a robot for reliable pick-and-place.

Step-by-step tutorial

HALCON

Webinar: machine vision in intralogistics and automated warehouses

In this Webinar you will learn how intralogistics and automated warehouses can benefit from machine vision technologies.

Webinar

Deep Learning

HALCON

Farming machinery – efficient plant protection with machine vision

We show how farming machinery uses MVTec machine vision and multispectral image acquisition to detect weeds in real time and spray herbicide only where needed.

Application Example

Embedded Vision

HALCON

MERLIC

Deep OCR with MVTec HALCON

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

Feature Presentation

Deep Learning

HALCON

Automated monitoring and harvesting with MVTec

The automation of processes in greenhouses using machine vision technologies makes it possible to better meet the increasing demand and requirements for quality, hygiene, and food safety.

Application Example

Deep Learning Tool

Embedded Vision

HALCON

MERLIC

MERLIC Feature Preview – anomaly detection

In this video, we show how MVTec MERLIC uses deep-learning-based anomaly detection to inspect PCBs for defects – with only good samples and no programming.

Feature Presentation

MERLIC

Print quality inspection of bar and data codes with MVTec HALCON

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

Quality inspection

Step-by-step tutorial

HALCON

Deep learning classification with the MVTec Deep Learning Tool

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

Step-by-step tutorial

Deep Learning

Deep Learning Tool

What is MERLIC?

MVTec MERLIC is an all-in-one software product for quickly building machine vision applications without programming.

Feature Presentation

MERLIC

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.

Step-by-step tutorial

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.

Step-by-step tutorial

Deep Learning

HALCON

How to read bar codes with MVTec HALCON

In this tutorial, we show how to read bar codes with MVTec HALCON—from using the basic operators to tuning, debugging, and exploring HDevelop examples for challenging codes.

Step-by-step 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 applications it can be used for.

Step-by-step 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 MVTec HALCON.

Step-by-step 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 the previous video.

Step-by-step tutorial

HALCON

HALCON's deep-learning-based object detection 4: apply the model (inference)

In this tutorial, we use a trained deep-learning object detection model in MVTec HALCON for inference and show how to process and validate the detected objects.

Step-by-step tutorial

HALCON

HALCON deep learning basics workflow, data & model

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

Step-by-step tutorial

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.

Feature Presentation

Deep Learning

HALCON

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

Learn how to seamlessly turn your HDevelop procedures into native C/C++ functions. This tutorial walks you through exporting, compiling, and integrating HALCON code directly into your own application.

Step-by-step tutorial

HDevelop (IDE of HALCON)

HALCON

Draw oriented rectangles with the MVTec Deep Learning Tool

Learn how to draw oriented rectangles with the MVTec Deep Learning Tool in this step-by-step video tutorial.

Step-by-step tutorial

Deep Learning

Deep Learning Tool

HALCON

Stereo Calibration with MVTec HALCON

From setup to 3D output: learn how to calibrate multiple cameras in HDevelop and verify precision.

Step-by-step tutorial

Calibration Plates

HALCON

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

In this tutorial, we show how to use HDevEngine to integrate HDevelop machine vision code into an existing Visual Studio project – without recompiling your application.

Step-by-step tutorial

HALCON

HDevelop (IDE of HALCON)

Edge-supported surface-based 3D matching with MVTec HALCON

Explore surface-based matching with HALCON. This tutorial shows how to detect and align textured 3D objects using advanced pattern matching techniques.

Step-by-step tutorial

HALCON

Optimize your 3D data for surface-based 3D matching with MVTec HALCON

Improve HALCON’s 3D surface matching by cleaning input data and using 2D xyz-mappings for faster, more robust results.

Step-by-step tutorial

HALCON

Process integration with MVTec MERLIC

Handle small batches fast: MERLIC recipes let the PLC reconfigure or switch vision apps on demand.

Feature Presentation

MERLIC

Introduction to surface-based matching with MVTec HALCON

Get started with surface-based matching in HALCON. This introductory tutorial explains key concepts and basic steps for detecting textured 3D objects.

Step-by-step tutorial

HALCON

From classification to segmentation - discover how deep learning in HALCON transforms industrial vision applications

This webinar gives users of machine vision software a better understanding of deep learning technologies and the benefits for machine vision applications.

Webinar

Deep Learning

HALCON

Check the fill height of a cookie box in 3D data with MVTec MERLIC

Mix 3D height data and classic 2D vision in MERLIC to verify both compartments quickly and reliably.

Step-by-step tutorial

HALCON

Deep Learning with MVTec HALCON

Train custom CNNs in HALCON for classification, detection, and segmentation, then deploy to analyze new images.

Feature Presentation

Deep Learning

HALCON

Approximate hand-eye calibration with MVTec HALCON (stationary 2D camera)

Learn hand-eye calibration in HALCON: align robot and camera coordinates for precise pick-and-place.

Step-by-step tutorial

Calibration Plates

HALCON

Pick and place with shape-based matching (stationary 2D camera)

Discover pick-and-place with shape-based matching in HALCON. This tutorial demonstrates how to locate parts reliably and guide robotic pick-and-place tasks.

Step-by-step tutorial

HALCON

Debugging an MVTec HDevEngine application running on an embedded device

Learn how to debug an HDevEngine application on an embedded device. This tutorial shows tools and techniques to find and fix issues in HALCON automation projects.

Step-by-step tutorial

Embedded Vision

HALCON

MVTec HALCON Paddle Game

Built during MVTec’s creative “woikn-days,” this fun example turns machine vision into a virtual game.

Feature Presentation

HALCON

Image acquisition with MVTec HALCON & HDevelop

Learn how to simply acquire and use live images within HDevelop: using the Image Acquisition Assistant, we simply generate the required code. Additionally, with the respective tools available in HDevelop, we focus the image and adapt the aperture. La…

Step-by-step tutorial

HALCON

HDevelop (IDE of HALCON)

HALCON for Embedded Vision

Bring HALCON’s full power to embedded devices—standard ARM/Linux support and proven ports across platforms.

Feature Presentation

Embedded Vision

HALCON

An introduction to Embedded Vision with MVTec HALCON

Discover HALCON on Arm: evaluate your embedded device, explore HPeek, and start building your own vision solution.

Webinar

Embedded Vision

HALCON

Debugging with HALCON variable inspect in Visual Studio

Use HALCON Variable Inspect in Visual Studio to view images, regions, and variables from your HALCON code instantly.

Step-by-step tutorial

HALCON

Working with Regions (MVTec HALCON)

In this tutorial, we show how we use MVTec HALCON to segment images with the Gray Histogram, split touching objects using morphology, and cluster regions by their features.

Step-by-step tutorial

HALCON

Deep-learning-based OCR in action – MVTec MERLIC

Read use-by dates with MERLIC’s deep-learning text tool on standard IPC, camera, and PLC—end-to-end and ready for industry.

Feature Presentation

MERLIC

3D object processing with MVTec HALCON 13 and Nerian SP1

In this tutorial, we show how to use MVTec HALCON with a stereo vision system to acquire 3D point clouds, segment objects, and reliably detect a cylinder.

Step-by-step tutorial

HALCON

Deep-learning-based OCR with MVTec MERLIC

In this video, we show how MVTec MERLIC uses Deep OCR with pre-trained features and large labeled datasets to reliably read new text and number data.

Feature Presentation

MERLIC

Bottle Inspection with MVTec MERLIC

See how MERLIC inspects bottles reliably. This tutorial shows setup, lighting, and vision logic for automated bottle quality checks.

Application Example

MERLIC

Calibrated 1D measuring with MVTec HALCON

Learn calibrated 1D measuring with HALCON. This tutorial covers setup and practical steps for accurate length measurement in machine vision.

Step-by-step tutorial

HALCON

Calibrated measurements using 2D metrology with MVTec HALCON

Learn 2D metrology in HALCON to measure circles, ellipses, rectangles, and lines with precision.

Step-by-step tutorial

Calibration Plates

HALCON

Calibrated Measurement with MVTec MERLIC

Need precise measurements or distortion-free images? Learn how to calibrate your camera in MERLIC using a simple calibration plate.

Step-by-step tutorial

Calibration Plates

MERLIC

Alignment with MVTec MERLIC

In this tutorial, we show how we use MVTec MERLIC’s alignment tools to automatically align moving parts, enabling robust positioning and precise measurements.

Step-by-step tutorial

MERLIC

What is HALCON?

HALCON is the comprehensive standard software for machine vision with an integrated development environment (IDE) that is used worldwide.

Feature Presentation

HALCON

MVTec Frontend Designer – Interactive Frontend

Build in MERLIC Backend, design in MERLIC Designer: create interactive frontends and tune parameters live for scratch detection on metal.

Step-by-step tutorial

MERLIC

Shape-based matching with MVTec HALCON: Introductory tutorial

Discover how shape-based matching works in MVTec HALCON. This introductory tutorial explains core concepts and shows how to detect objects reliably—even with rotation, scale changes, or partial occlusion.

Step-by-step tutorial

HALCON

Shape-based matching with MVTec HALCON: process the results, align ROIs or images

In this tutorial, we show how to process matching results in MVTec HALCON—count matches and realign regions or images based on the detected positions.

Step-by-step tutorial

HALCON

Shape-based matching with MVTec HALCON: speedup vs. robustness, advanced parameters

In this tutorial, we show how to optimize shape-based matching in MVTec HALCON using advanced parameters—making it faster and more robust, even with blur or deformation.

Step-by-step tutorial

HALCON

Robust bar code reading despite overexposure and print growth - MVTec HALCON 12.0.2

HALCON 12.0.2 decodes what others can’t — from thickened bars to faded codes. This video demonstrates the power of HALCON’s barcode reader.

Feature Presentation

HALCON

MERLIC - easyTouch

With easyTouch in MVTec MERLIC, we show how we simply hover to detect, align, measure, or read text – making machine vision setup fast and intuitive.

Step-by-step tutorial

MERLIC

Efficient shrimp sorting with MVTec HALCON

Real-time shrimp sorting with HALCON boosts yield and returns live by-catch to the sea—fast, accurate, sustainable.

Application Example

HALCON

HDevelop tutorial 03: visualization – MVTec HALCON

This MVTec HDevelop tutorial improves visualization: apply LUTs, fit window to image, set fonts/colors, show outlines, and use the correct coordinate system.

Step-by-step tutorial

HALCON

HDevelop (IDE of HALCON)

MERLIC – create an application in five minutes

In this tutorial, we show how we use MVTec MERLIC to detect missing fuses on a PCB in just a few minutes – easy to follow along with the free trial version.

Step-by-step tutorial

MERLIC

Conveyor belt application using MVTec HALCON

Develop in HDevelop, run on D3: set ROI, learn shapes, measure diameters, save scripts. Registered users can download HALCON.

Application Example

HALCON

HDevelop tutorial 02: Variables – MVTec HALCON

MVTec’s HDevelop tutorial: read and use iconic vs. control variables. Use tuples and arrays to avoid loops. Includes a sample program download.

Step-by-step tutorial

HALCON

HDevelop (IDE of HALCON)

HDevelop Tutorial 01: GUI and Navigation - MVTec HALCON

Learn HDevelop essentials: Graphics, Program, Operator, Variable windows, plus step-through debugging with counter and breakpoints.

Step-by-step tutorial

HALCON

HDevelop (IDE of HALCON)

MVTec MERLIC frontend designer – basics

MVTec MERLIC Designer: Create your own frontend for machine vision applications in just a few steps—interactive, customizable, and easy to use.

Step-by-step tutorial

MERLIC

Camera calibration - using a HALCON calibration plate

Learn how to use iconic and control variables in HDevelop, plus smart use of tuples and arrays to avoid loops in your program.

Step-by-step tutorial

Calibration Plates

HALCON

Search HALCON Example Programs

In this video, we show how to use the HDevelop Example Browser in MVTec HALCON to quickly find example programs by application area, industry, or keyword.

Step-by-step tutorial

HALCON

Meet MERLIC – a new generation of vision software

All-in-one and code-free: MERLIC pairs MVTec expertise with easyTouch for speed, reliability, and cost savings.

Feature Presentation

MERLIC

Try HALCON Machine Vision Software

In this video, we show how MVTec HALCON enables machine vision solutions—from live image acquisition and examples to exporting your application.

Feature Presentation

HALCON

Next-generation industrial robot NEXTAGE

This video shows how the collaborative robot NEXTAGE uses MVTec HALCON for precise image processing, enabling flexible automation in modern production.

Application Example

HALCON

Segmenting and analyzing candies and seeds with HALCON

This demo by LinX shows how fast and robust MVTec HALCON segments and analyzes candies and seeds using its powerful blob analysis.

Application Example

HALCON

Fast 3D camera calibration and 3D model creation

This demo shows how Sensor Control uses MVTec HALCON to perform 3D camera calibration and 3D model creation for robot guidance in under one minute.

Feature Presentation

HALCON

Identification of produce without any bar or data code (SBI)

HALCON’s Sample-based Identification (SBI) recognizes thousands of objects by color or texture: fast, robust, and easy to use, even without bar codes or data codes.

Application Example

HALCON

pick and place application examples

Three application examples for pick & place with HALCON 3D Vision

With HALCON 3D vision, robots pick disordered automotive parts precisely using sheet-of-light scanning and smart tool selection.

Application Example

HALCON

image d3 vrmagic intelligent camera with halcon embedded

VRMagic D3 intelligent camera with HALCON embedded

HALCON Embedded on the D3 smart camera: Detect, measure, and analyze in real time – powerful machine vision right on the device.

Application Example

Embedded Vision

HALCON

Leuze LPS36 & MVTec HALCON 3D software on bin picking robot

Affordable 3D imaging made simple: HALCON and Leuze’s LPS36 enable precise, real-time vision for pick-and-place robots.

Application Example

HALCON

pick and place surface based matching

Pick and place with HALCON's surface-based 3D matching

Robust bin picking of heavy parts with sheet-of-light and HALCON 3D; 2D re-localization and dual-part pickup feed welding.

Application Example

HALCON