In MERLIC 5.6, some methods that were previously available on a test basis have been transferred to completely new tools. These tools are: “Count with Deep Learning”, “Segment Image Pixel-Precisely", and “Recognize Color”. With “Count with Deep Learning”, also known as Deep Counting, it is possible to count a large number of objects quickly…
MERLIC 5.4 extends the available MERLIC Communicator plug-ins with a REST plug-in. This interface opens the door to the world of web services. MERLIC users benefit from being able to control the software through this important interface, using a Frontend on the web browser. Furthermore, the results of the machine vision application can also be…
As part of the partnership, the library of the machine vision software HALCON has been expanded to include data management functions. With the extension package for HALCON it is possible to build up an image database and to enrich the images with additional information such as time stamp, lot number, product number, temperature, or vibration data…
With HALCON 23.05, it is now possible to further optimize the underlying deep learning networks, which are already pre-trained on industry-related images, for the user's own application. This allows even more robust recognition rates for Deep OCR applications as well as an even more reliable detection of suitable gripping surfaces for…
The deep learning technology for object detection is now also available in MERLIC. The “Find Object” tool locates trained object classes and identifies them with a surrounding rectangle (bounding box). Touching or partially overlapping objects are also separated, which allows counting of objects. Labeling and training are possible without…
The 3D Gripping Point Detection technology is a highlight of HALCON 22.11. It can be used to robustly detect surfaces on any object that are suitable for gripping with suction. In contrast to classic bin-picking applications, this new technology eliminates the need to train object surfaces. This means that no prior knowledge of the specific…
MERLIC 5.2 is a logical continuation of the approach taken since MERLIC 5, namely to provide customers with the latest deep learning features that are also easy to use. Global Context Anomaly Detection is now being added to the proven deep learning functions Anomaly Detection and Classification (from MERLIC 5) and Deep OCR (from MERLIC 5.1).
By detecting logical anomalies in images, HALCON 22.05 opens up completely new application areas and represents a further development of the deep learning technology of anomaly detection. Until now, it has only been possible to detect structural anomalies strictly on a local level. The new Global Context Anomaly Detection feature is currently the…
The bundle combines the innovative technologies of three partners: AAEON provides the UP Squared Pro system with AI Core XM, an AI acceleration module including two times an Intel® Movidius™ Myriad™ X VPU, Basler supplies the plug-and-play USB 3.0 area scan camera pulse including matching accessories, and MVTec contributes the easy-to-use MERLIC 5…
MERLIC 5.1 includes a new tool for optical character recognition that is based on HALCON’s Deep OCR technology. Compared to other algorithms, this holistic deep-learning-based approach can localize characters much more robustly, regardless of their orientation, font type, polarity, and it requires significantly less parameter tuning. Recognition…
One highlight of HALCON 21.11 is the addition of instance segmentation technology to the range of deep learning functions. This technology combines the benefits of semantic segmentation with those of object detection and enables the pixel-precise assignment of objects to different classes. It is particularly useful in applications where objects…
The OpenVINO toolkit plugin from MVTec is based on the new HALCON AI Accelerator Interface (AI²). This generic interface allows customers to use supported AI accelerator hardware for the inference part of their deep learning applications – quickly and conveniently. Such special devices are widely used especially for applications in the embedded…
MERLIC 5 contains new and optimized features that further increase usability, robustness, and the field of possible applications. Among these features is included the improved camera handling using the Image Source Manager (ISM), which completely separates the image acquisition source from the image processing part. As a result, machine vision…
A major highlight in the new HALCON 21.05 version is the Generic Shape Matching feature, which makes MVTec's industry-proven shape matching technologies even more user-friendly and future proof. Users can now implement their solutions much faster and more easily, thanks to a significant reduction in the number of operators required. Moreover…
Designed to reduce the evaluation and prototyping stages of product development, this hardware and software bundle allows users to easily test embedded vision applications on the NVIDIA Jetson Nano Developer Kit. The starter kit consists of Allied Vision’s innovative Alvium 1500 C CSI-2 camera and a demo consisting of various machine vision…
HALCON 20.11 will be released simultaneously for both the Steady and Progress editions. As a result, HALCON Steady customers can now access the many new features available in the last three Progress releases, including anomaly detection, the generic box finder, and optimized identification technologies.
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.
MVTec Software GmbH announces the release 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.
MVTec Software GmbH will issue its new MERLIC 4 software release on Feb. 15. It contains many new and improved features that make the creation of machine vision applications even easier, more efficient and more user-friendly. The range of functions has also been streamlined with regard to obsolete technologies and thereby optimized for users…
A fully integrated machine vision system combines cutting-edge technology from two market leaders: the HALCON machine vision software library from MVTec and advanced control technology from B&R. This combination opens up new possibilities for users in industrial image processing.
MVTec Software GmbH will release the new version 18.11 of its standard software HALCON on Nov. 30, 2018. Many highlights in the new release are the result of MVTec's ongoing development of AI technologies, such as deep learning and convolutional neural networks (CNNs). For example, object-, feature-, or error classes trained with deep…
MVTec Software GmbH presents new machine vision features with its latest release, HALCON 18.05. With this new version the deep learning inference, i.e., the use of a pretrained Convolutional Neural Network (CNN), is now running on CPUs for the first time.
MVTec Software GmbH will release the new version 17.12 of its standard software HALCON on December 8. The new version features an extensive set of cutting-edge deep-learning functions, which can be instantly applied in industrial settings.
With the new HALCON 13.0.1 release, MVTec Software GmbH makes its machine vision software readily available for ARM-based platforms running the Linux operating system. This version provides a straightforward way to use HALCON's functions on the widely distributed ARM processing technology.
MVTec Software GmbH will issue the new MERLIC 3 software release on April 3. Along with the proven range of functions, the latest version also contains a number of new and improved features. These improvements make it even easier and more convenient to create machine vision applications.
MVTec LLC, Boston, has optimized the functional range of its HALCON software for machine vision with an integrated development environment (IDE), according to a Feb. 16 company announcement. The upgrade is expected to roll out Feb. 29.
Munich, November 22, 2018 – MVTec Software GmbH (www.mvtec.com), a provider of standard machine vision software, has announced two new staff appointments.
Munich-based MVTec Software GmbH, a leading international provider of machine vision software, has filled two leading positions. In his capacity as the new technical product manager, Mario Bohnacker has been responsible for the technical enhancement of the standard machine vision software HALCON since January 2020. Christian Eckstein joined the…
