New software version with improved deep learning

Machine Vision

Mara Hofacker, 25.04.2019, 14:48

New software version with improved deep learning

The new version Halcon-19.05 offers improved deep learning functions. © MVTec Software

In particular, the team of experts at MVTec has further developed the deep learning technologies. With the new version, the deep learning inference can also be executed on CPUs of the common Arm processor architecture. This allows customers to use the latest technologies on standard embedded devices. Deep learning-based object detection has also been improved. The process, which clearly locates and identifies objects in the image using bounding boxes, now also recognizes the orientation of the objects.

Significant improvements in matching

Other new features in Halcon 19.05 optimize the matching processes. For example, shape-based matching makes it possible to specifically define model areas in which no contours should occur. This leads to more robust matching results in the context of repetitive structures. The new release also offers some improvements to surface-based 3D matching. For example, it is now possible to better control the quality of 3D edges using additional parameters. This leads to more robust matches, especially in noisy data.

Optimized usability in the embedded environment

"With version 19.05, we are taking our proven standard machine vision software Halcon to a new level. Developers and users alike benefit from numerous new features. These include not only additional sophisticated deep learning functions, but also noticeably improved usability in the embedded environment," says Johannes Hiltner, Product Manager Halcon at MVTec.

By the way: MVTec will be presenting new functions and technologies relating to the Halcon and Merlic software at its Innovation Day - SCOPE readers can secure free tickets for this event.

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