MVTec Software GmbH, the leading provider of modern machine vision software, announces that May 31, 2019 will be the release date of the new version 19.05 of its standard software, HALCON. This release will further improve machine vision processes with a number of new and revised features. In particular, the expert team at MVTec has enhanced the deep learning technologies available in HALCON. One highlight: In version 19.05, the deep learning inference can also be executed on CPUs with the established Arm processor architecture. This allows customers to use the latest deep learning technologies on standard embedded devices. Deep-learning-based object detection has also been improved: The method, which locates and identifies objects by their surrounding rectangles (so-called bounding boxes) now precisely detects the orientation of the objects.
Significant Improvements In Matching And Code Reading
Other new features in HALCON 19.05 optimise matching processes. For example, users of HALCON’s shape-based matching can now define areas within a search model that should *not* contain any contours. In the context of repetitive structures, this leads to more robust matching results.
Moreover, the new HALCON release also offers several enhancements for surface-based 3D matching. This means that additional parameters can be used to better inspect the quality of 3D edges, resulting in even more robust matching – especially in the case of noisy 3D data.
Optimised Usability In Embedded Environments
“With version 19.05, we are raising our proven HALCON standard machine vision software to a new level. Developers and users alike benefit from numerous new features. These not only include additional, well-thought-out deep learning functions, but also noticeably improved usability in embedded environments,” explained Johannes Hiltner, HALCON Product Manager at MVTec.
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