| Trade Fair, Europe, Germany

VISION Stuttgart 2022

Meet us at VISION Stuttgart 2022 in hall 8 at our booth C56 and find out about our latest innovations! We are looking forward to see you at the world's leading trade fair for machine vision from October 4 to 6, 2022.

With the new features MVTec software users can benefit from significant time-saving potentials and improved flexibility. 

Enhancements of MVTec HALCON’s 3D technologies with deep learning algorithms now allow for robustly detecting gripping surfaces on arbitrary objects. This enables faster and thus more cost-efficient implementations of typical applications, e.g., in logistics. At our booth, we showcase this brand-new feature with a machine-vision-based robotics system.

The new "Global Context Anomaly Detection" is a one-of-a-kind technology, which takes into account the logical content of the entire image. This deep-learning-based technology makes it possible to detect entirely new variants of anomalies like missing, deformed, or incorrectly arranged components. It presents completely new possibilities: For example, the inspection of printed circuit boards in the semiconductor production or the inspection of imprints. The feature is already available in HALCON and will be introduced in MERLIC with the next release.

Learn more about MVTec’s comprehensive machine vision software portfolio and enjoy a cup of coffee from our barista at our booth!

Redeem your free ticket now with this code MEETMVTEC2022.

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MVTalks: Forum presentations at our booth

Look forward to 10-minute forum talks at our booth, giving practical insights into the application of our software. The talks will be in English and will alternate at regular intervals:


10:30 am11:30 am12:30 pm
13:30 pm14:30 pm15:30 pm


11:00 am12:00 am13:00 pm
14:00 pm15:00 pm16:00 pm

Our participation in the Industrial Vision Days

On top of that, MVTec will contribute to the Industrial Vision Days with two presentations:

Wednesday, October 5, 4:00 pm:

Standards in Action: Building Machine Vision with Standardized Behavior and Interfaces

A Case Study on Applying “OPC UA for Machine Vision – Companion Specification” in the Real World.

Industry 4.0 and IoT applications are already a reality in the automation world. As technology advances, machine vision systems have evolved to use smaller, and more powerful components like smart cameras and other embedded devices. With the rise of new technologies such as deep learning, these devices can do more than ever before. However, the integration of such systems into production control and other IT systems is still dominated by the use of proprietary interfaces that vary “case by case” and from “company to company”.

In 2019, the VDMA and the OPC Foundation released the companion specification “OPC UA for Machine Vision – Part 1”, seeking to standardize the data flow as well as the control and behavior of machine vision systems and thereby aiming to harmonize the domain in OPC UA to enable new information-rich and secure applications.

This presentation gives an insight into the different aspects of implementing and integrating the information model, which is defined in the companion specification. Additionally, it goes beyond the information contained in the standard by giving insight into the practical challenges faced during implementation.

Ricardo Juarez Acuna, Software Engineer at MVTec & Suprateek Banerjee, Head of OPC UA Technology, VDMA R+A

Thursday, October 6, 10:00 am:

Deep Learning & AI combined with traditional methods facilitate automation

From the detection of logical anomalies to the bin-picking of unknown objects with 3D vision – Christian Eckstein, Product Manager Deep Learning Tool, demonstrates the power of deep-learning-based approaches to solve applications and further facilitate automation with MVTec machine vision software.

Christian Eckstein, Product Manager Deep Learning Tool

Machine Vision Application Tours by MVTec

For the first time, MVTec organizes guided tours, which give visitors a deeper insight into various practical applications. A mix of four demonstrations from MVTec and partner companies will be presented in 45-60 minutes. Look forward to topics like deep learning, bin picking, data code reading and 3D reconstruction.

The tours are limited to 15 people, so make sure to register in advance here.

Register now

Machine Vision Get-Together

We look forward to welcoming you in person to exchange thoughts directly on the trade show grounds from 5 to 8 p.m. Snacks, drinks, and some background music set the stage to end the second trade show day in a relaxed atmosphere. The event will be free of charge, however a registration will be required.

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