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Marketing Partner


MVTec LLC

MVTec LLC

MVTec is a leading international manufacturer of software for machine vision used in all demanding areas of imaging like the semi-conductor industry, inspection, optical quality control, metrology, medicine or surveillance. In particular, software by MVTec enables new automation solutions in settings of the Industrial Internet of Things. MVTec is the developer and vendor of the general purpose machine vision software products HALCON and MERLIC.


Mailing Address:
108 Myrtle Street, Suite 503
Quincy, MA 02171
United States of America

Tel: (617) 401-2112

Fax:

Email: info@mvtec.com

Website: http://www.mvtec.com

Company Category: Industrial Robotics

Geographic Region: USA - North East

Company Sector: Software

Keywords: Machine Vision, Robotics, Robot Vision, 3D vision

Partner Status: Marketing Partner


Products

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Articles


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White Papers

This Company does not currently have any White Papers


Press Releases

Automated gripping in perfection - How machine vision sustainably improves pick-and-place and bin picking applications.

Within the industrial value chain, there is a multitude of applications in which robots automatically grasp specific objects. In classic pick-and-place applications, objects are picked up at one location (pick) and placed at another (place).

More power for demanding machine vision applications: MVTec and Siemens expand technological cooperation

• Siemens joins the MVTec Technology Partner Program • Machine vision, a hidden champion in the automation industry, benefits from partnerships between various component manufacturers • Combination of Siemens industrial PCs and MVTec software enables high-performance machine vision applications

MVTec takes a giant step forward in expanding its international footprint

• Two new locations opened in Spain and South Korea • Logical continuation of successful globalization strategy • Local markets benefit from more targeted support through on-site presence

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

• Deep 3D Matching as a robust, flexible and fast feature for finding objects in three-dimensional space • In addition: Numerous improvements and optimizations of already available technologies • Release on May 27, 2025

MVTec expands its program for universities and students

• Student program "MVTec on Campus" celebrates its 5th anniversary • MVTec offers free software licenses to universities and students worldwide • On the occasion of the 5th anniversary, students can now also access the MVTec Academy

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

• Battery production benefits from machine vision • Reliable quality assurance along the entire production chain • MVTec as a global technology leader for machine vision software

MVTec at automatica 2025: Securing competitive advantages in manufacturing with Machine Vision

• MVTec showcases cutting-edge machine vision made in Munich • Latest versions of HALCON, MERLIC, and the Deep Learning Tool will be presented • Focus on quality assurance, identification, and collaboration of machine vision software with robots

Why hardware-independence matters in machine vision software

Hardware-independent machine vision software gives users complete freedom in their choice of hardware, allowing them to benefit from greater flexibility and scalability. Thus, companies can significantly increase their process efficiency and save costs.

Machine Vision: MVTec Expands Deep Learning Portfolio with New Versions of its Deep Learning Tool

• Deep Learning Tool enables easy image data labeling thanks to an intuitive user interface • Expansion of the free basic version with new commercial Professional and OEM editions featuring enhanced functionalities • Customers can resell the new commercial Deep Learning Tool editions as part of their own solutions

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

• Deep 3D Matching as a robust, flexible and fast feature for finding objects in three-dimensional space • In addition: Numerous improvements and optimizations of already available technologies • Release on May 27, 2025

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