| Press Release, MVTec

Machine Vision: MVTec will present its service portfolio at the VISION in-person trade show in Stuttgart, Germany

MVTec Software GmbH, a leading international provider of machine vision software, will present an overview of its latest machine vision technologies and recent product developments at this year's VISION in Stuttgart. The company views its participation in the world's leading machine vision trade show as an excellent opportunity to once again establish personal contacts with customers, partners, and interested parties.
Image (300 dpi, rgb, jpg): MVTec at Vision Stuttgart

From October 5 to 7, 2021, visitors to Booth 8C56 can learn about the latest features of the company's HALCON standard software, Deep Learning Tool, and MERLIC. The new MERLIC 5 version will be released just in time for VISION 2021. Numerous technical features have been added to the all-in-one machine vision software. MVTec will also participate in the Industrial VISION Days, the world's largest machine vision lecture forum part of VISION 2021, with a presentation on deep learning.

"Our participation in VISION 2021 will provide us with our first European opportunity to develop personal contacts since the pandemic began. We’re looking forward to lively discussions. This trade show will also serve as a valuable stimulus for the entire machine vision industry, and we’d like to make a significant contribution with our technological innovations," says Dr. Olaf Munkelt, Managing Director of MVTec Software GmbH.

Demos provide real-time insight into practical applications

Two interactive demos at the MVTec booth will provide in-depth insight into a wide range of machine vision applications, while also creating an opportunity to engage in deepened discussions. The first demo allows visitors to experience the many topics and technologies relating to machine vision interactively, based on practical examples and videos. These include anomaly detection, deep OCR, the Subpixel Bar Code Reader, and an agricultural application relating to 3D plant inspection. The demo will be offered at three different locations within the booth so as to comply with the rules of hygiene. This will enable multiple visitors to access the demo while keeping the social distance. In another live demonstration, MVTec experts will show how images can easily be labeled with the aid of the Deep Learning Tool in order to optimally prepare it for training.

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