The core technology shape-based matching was also optimized in HALCON 20.11. Improved user-friendliness and faster 3D matching This improves the recognition performance significantly and avoids the misinterpretation of characters with similar appearances. The ability to group characters automatically allows the identification of whole words. Deep OCR can localize numbers and letters much more robustly, regardless of their orientation, font type, and polarity. With another new feature called Deep OCR, MVTec introduces a holistic deep-learning-based approach for optical character recognition (OCR). It is based on a matrix of dots and can be printed very fast, which makes it especially suitable for high-speed applications, for instance in the tobacco industry. A new 2D code type known as DotCode has been added. The MVTec experts have optimized a number of core technologies in HALCON 20.11. This means that the full range of new Progress features is now also available to HALCON Steady customers. The new release will be available in both a Steady and a Progress edition. The consistent further development of all included technologies emphasizes HALCON’s role as a leading standard library and software for machine vision. Thanks to many new and updated features, users can improve the efficiency of their machine vision processes. Munich, Octo– MVTec Software GmbH ( a leading international provider of machine vision software, will publish a new release of its standard software HALCON (version 20.11) on November 20, 2020. Optimized core technologies / New feature: Deep OCR for deep-learning-based character recognition.Users benefit from a balanced set of features.

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