MVTec MVTec presents new and optimised features with Halcon 20.05
Halcon 20.05 offers both new features and updated technologies from the previous version, which can be used to further optimise machine vision processes, the company promises.
MVTec Software GmbH will launch a new Progress release of its standard software Halcon on May 20, 2020. The bar code reader has been improved by an advanced decoding algorithm, which increases the decoding rate when reading codes with very thin bars. Thanks to this, it is now possible to even read codes with bars smaller than one pixel. With Halcon 20.05, training for all deep learning technologies can now be performed on a central processing unit (CPU). By removing the need for a dedicated graphics processing unit (GPU), standard industrial PCs that could not house powerful GPUs can now be used for training. Customers benefit from greater flexibility regarding the implementation of deep learning, because training can now be performed directly on the production line.
Another new development is that the generic box finder released with the previous version has been improved in terms of robustness, performance, speed, and usability: It is now much easier to find boxes of different shapes and sizes reliably. In addition, the Grad-CAM-based heatmap (Gradient-weighted Class Activation Mapping) can now be calculated on the CPU without significant speed drops. This means that users are now able to analyse directly which parts of an image influence the deep learning network's classification decision.
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