MVTec Upgrades HALCON Deep Learning Framework, IDE.

By Chad Cox

Production Editor

Embedded Computing Design

May 27, 2021

News

MVTec Upgrades HALCON Deep Learning Framework, IDE.

MVTec has published version 21.05 of its HALCON machine vision software, which includes a new Generic Shape Matching feature and improvements in the Deep Learning Framework, subpixel bar code reading, optical character recognition (OCR), and the IDE itself.

  • The Shape Matching Feature allows combines HALCON’s shape-matching functions into a single set of easy-to-use operators.
  • Support for the NVIDIA TensorRT inference engine has been added to the HALCON Deep Learning Framework.
  • The integrated subpixel bar code reader has been optimized for low-resolution codes, improving the decode rate for these workloads by up to 50 percent.
  • The deep learning-based OCR function handles large images and different worde lengths more efficiently without parameter tuning. It also includes additional character support.
  • The IDE window docking feature has been optimized with capabilities like “Auto-hide” of widgets and simplified grouping and organization of windows.

For more information, visit mvtec.com.

Chad Cox is the Production Editor at Embedded Computing Design. His responsibilities are centered around content creation, writing and editing, and article research and development. Chad covers industry news and events and is known to interact with various industrial leaders via on-premise visits and online interviews. He is responsible for the digital footprint and dissemination of news via social media posts, advertising creation and the production of newsletters including the Embedded Computing Design’s Daily.

He is well versed in many facets of industrial computing including Edge AI, IoT, Processing, Security, Open Source, and more.

Chad graduated from the University of Cincinnati with a B.A. in Cultural and Analytical Literature and holds a master’s in education.

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