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MVTec MERLIC: New release enhances process reliability of the entire machine vision application

With MVTec MERLIC, MVTec Software GmbH offers a powerful machine vision software that allows even beginners to handle sophisticated machine vision tasks. MERLIC provides a variety of methods, including deep-learning-based technologies, numerous interfaces to different PLCs, and an intuitive user interface. The new version, MERLIC 5.8, which will be available from October 16, now also includes functions that go beyond pure image processing. These new features support users in increasing the process reliability of their entire machine vision application.

MVTec at SEMICON Europa: Machine vision as a key technology for semiconductor manufacturing

This year again, MVTec Software GmbH will present itself as a partner of the semiconductor industry at SEMICON Europa, which takes place from November 18 to 21 in Munich.

MVTec at VISION Stuttgart 2024

MVTec Software GmbH is presenting itself and its innovations within its powerful software products for machine vision and their various application possibilities at this year’s VISION in Stuttgart from October 8 to 10, 2024.

MVTec and Siemens expand technological cooperation

MVTec Software GmbH and Siemens are expanding their technological cooperation in the field of industrial automation. To reinforce their increasingly close collaboration, Siemens joined the MVTec Technology Partner Program in May 2025.

Battery Show Europe: MVTec presents advantages of machine vision for battery production

MVTec Software GmbH will once again demonstrate the added value of machine vision for battery production at this year's Battery Show Europe in Stuttgart. Visitors are invited to learn more about the benefits and applications of MVTec's software products at booth G20 in hall 6 from June 3 to 5, 2025.

MVTec at automatica 2025: Securing competitive advantages in manufacturing with machine vision

Machine vision has become indispensable in industrial manufacturing, enabling faster, more precise, digitalized production. MVTec Software GmbH, a leading manufacturer of machine vision software based in Munich, will demonstrate these competitive advantages at the automatica trade show from June 24 to 27, 2025.

MVTec expands Deep Learning Portfolio with new versions of its Deep Learning Tool

The machine vision industry is gaining significant momentum by using deep learning, a subset of artificial intelligence, which allows for the automation of entirely new applications and improved results. A key requirement is properly labeled image data. To better support customers throughout the entire workflow of preparing image data MVTec is expanding the functionalities of its Deep Learning Tool.

New MVTec HALCON version includes deep learning-based technology for robust bin picking

MVTec Software GmbH is launching the new version of MVTec HALCON on May 27, 2025. Version 25.05 of the standard software for machine vision includes numerous improvements as well as a new technology that combines deep learning algorithms with classic methods.

Discover the enormous potential of hardware-independent machine vision software from MVTec at Automate 2025

MVTec software is suitable for almost any machine vision application. At Automate, the newest version of the software and deep learning technologies will be presented.

MVTec at embedded world: High-performance machine vision software provides added value for embedded systems

In 2025, MVTec Software GmbH will once again present itself and its products at embedded world, taking place from March 11 to 13, 2025, in Nuremberg.

Industry get-together for the machine vision community: MVTec Innovation Day 2025

In 2025, MVTec Software GmbH, a leading international software manufacturer for industrial image processing (machine vision), once again hosts its popular MVTec Innovation Day.

Presentation of the DAGM MVTec Dissertation Award at GCPR-VMV 2024

MVTec Software GmbH, a leading global manufacturer of machine vision software, congratulates Dr. Francesco Croce, the winner of this year's DAGM MVTec Dissertation Award.