• Rapid access to product improvements, thanks to short release cycles • Deep learning training right on the CPU • To be released on May 20, 2020
Munich, April 08, 2020 - MVTec Software GmbH (www.mvtec.com), the leading international provider of machine vision software, will launch a new Progress release of its standard software HALCON on May 20, 2020. HALCON 20.05 offers both entirely new features and updated technologies from the previous version, which can be used to further optimize machine vision processes. 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 significantly 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: With MVTec HALCON 20.05, 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 analyze directly which parts of an image influence the deep learning network's classification decision. Moreover, the anomaly detection has been significantly improved in the current HALCON version. Training the network is now up to ten times faster, and inference speed has also been improved. Trained networks now also require less memory and disk space, which makes the feature more viable for use on embedded devices.
Surface-based 3D matching improved
Another new function improves processes in manufacturing, where workpieces must be located robustly and accurately to allow for further processing. Characteristics such as small holes are often the only unique features to find the correct orientation of the object. HALCON's surface-based 3D matching can now make use of such features to improve the accuracy and robustness of the matching results.
"More than ever before, MVTec HALCON 20.05 demonstrates the benefits that the short release cycle of our HALCON Progress Edition has to offer. In addition to the fast delivery of new features, we can also incorporate the latest customer feedback into the software product within a short period of time. This approach allows us to quickly optimize functionalities and thus make them even more attractive to our customers," explains Mario Bohnacker, Technical Product Manager HALCON at MVTec.
MVTec is a leading manufacturer of standard software for machine vision. MVTec products are used in all demanding areas of imaging: Semi-conductor industry, web inspection, quality control and inspection applications in general, medicine, 3D vision, and surveillance. MVTec, with its head office in Munich (Germany), has more than 30 established distributors worldwide and in addition, MVTec, LLC works out of Boston, MA (USA). www.mvtec.com
About MVTec HALCON
MVTec HALCON is the comprehensive standard software for machine vision with an integrated development environment (HDevelop) that is used worldwide. It enables cost savings and improved time to market. HALCON's flexible architecture facilitates rapid development of any kind of machine vision application.
MVTec HALCON provides outstanding performance and a comprehensive support of multi-core platforms, special instruction sets like AVX2 and NEON, as well as GPU acceleration. It serves all industries, with a library used in hundreds of thousands of installations in all areas of imaging like blob analysis, morphology, matching, measuring, and identification. The software provides the latest state-of-the-art machine vision technologies, such as comprehensive 3D vision and deep learning algorithms.
The software secures your investment by supporting a wide range of operating systems and providing interfaces to hundreds of industrial cameras and frame grabbers, in particular by supporting standards like GenICam, GigE Vision, and USB3 Vision. By default, MVTec HALCON runs on Arm®-based embedded vision platforms. It can also be ported to various target platforms. Thus, the software is ideally suited for the use within embedded and customized systems. www.halcon.com, www.embedded-vision-software.com