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Munich, January 14, 2020 - MVTec Software GmbH (www.mvtec.com), the leading provider of innovative machine vision software, invites guests to attend MVTec Innovation Day once again this year. On Thursday, February 20, 2020, visitors will gain practical insight into the latest machine vision topics at Haus der Bayerischen Wirtschaft in Munich. Aimed especially at developers, programmers, and experienced machine vision users, MVTec experts will illustrate trends, technologies, and solutions in a variety of presentations.
The MVTec team will also be on hand for a direct exchange and technical discussions. During the breaks and evening event, attendees will have the opportunity to visit an exhibition with live demonstrations as well as network with colleagues in a relaxed atmosphere. The event will take place in German, with professional simultaneous interpreters available for all non-German speakers.Expert presentations on the latest trends and technologiesThe presentations will focus on the latest trends and technologies as well as their application in daily practice. One of these is the efficient anomaly detection in deep-learning-based inspection tasks using the standard machine vision software MVTec HALCON. Other topics to be presented are deep-learning-based optical character recognition (OCR), examples of the latest embedded vision applications, HALCON's generic box finder for pick-and-place applications, and identification via subpixel bar code reader.
The experts will also discuss general market developments and future milestones at MVTec. Moreover, visitors will receive valuable tips from MVTec developers and can enter a drawing to win for example a license for MVTec's software products or a deep-learning training course.
For the first time, this year's Innovation Day will also feature external speakers - for example, from B&R and Manz AG - who will discuss topics like embedded vision and deep learning.Throughout the day, fascinating live demonstrations will provide practical insights into the use of modern machine vision applications in industrial environments - with an emphasis on scenarios that focus on embedded vision and deep learning.For more information on the agenda and to register for the event (until February 7, 2020), visit MVTecMVTec 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.comAbout MVTec HALCONMVTec 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 smart cameras and other embedded vision platforms. It can also be ported to various microprocessors/DSPs, operating systems, and compilers.
Thus, the software is ideally suited for the use within embedded systems. Www.halcon.com, www.embedded-vision-software.comAbout MVTec MERLICMVTec MERLIC is the all-in-one software product for quickly building machine vision applications without any need for programming. It is based on MVTec's extensive machine vision expertise and combines reliable, fast performance with ease of use. An image-centered user interface and intuitive interaction concepts like easyTouch provide an efficient workflow, which leads to time and cost savings. MERLIC provides powerful tools to design and build complete machine vision applications with a graphical user interface, integrated PLC communication, and image acquisition based on industry standards.All standard machine vision tools such as calibration, measuring, counting, checking, reading, position determination, as well as 3D vision with height images are included in MVTec MERLIC. Furthermore, the software is able to execute tools in parallel, increasing overall efficiency and improving the implementation of multi-camera-setups. MERLIC's features are all based on the latest state-of-the-art machine vision technologies, such as matching or deep learning.
The software is available for Windows-based PC and embedded platforms, making it ideally suited for use in smart cameras.
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HALCON 18.11 introduces a new data structure “dictionary”, which is an associative array that opens up various new ways to work with complex data.For example, this allows bundling various complex data types (e.g., an image, corresponding ROIs and parameters) into a single dictionary, making it easier to structure programs when, for example, passing many parameters to a procedure.Dictionaries can also be read from and written to a file. This allows an engineer to bundle all information necessary to reproduce a certain application’s state (e.g., camera calibration settings, defective images, and machine parameters) into a single file. This file can then easily be shared with an machine vision expert for offline-debugging. With HALCON 18.11, HDevelop can display detailed information on most important handle variables.This allows developers to easily inspect the current properties of complex data structures at a glance, which is extremely useful for debugging. Double-clicking a handle variable now returns all parameters associated with the handle and their current settings. For example, the user can now easily examine parameters of a data code handle, such as “polarity”, “symbol type” or “finder pattern tolerance”, as well as complex parameters that carry multiple key-value pairs, like for example the camera parameter of a 3D shape model handle.
With HALCON 18.11, the data code reader for ECC 200 codes has been improved. The overall recognition rate could be increased by 5% (data based on our internal ECC 200 benchmark consisting of more than 3,700 images from various applications).
In addition, the ECC 200 reader is able to read codes with disturbed quiet zone now. Moreover, codes against complex backgrounds can be found and read faster and more robustly.In addition HALCON Steady has the option in purchase a Deep Learning add-on, to include: Semantic Segmentation & Object Detection with Deep Learning. With HALCON 18.11, object- or error classes trained with deep learning can now be segmented pixel-precisely.Combined with the multitude of possibilities that HALCON offers for further processing extracted regions, this semantic segmentation paves the way for an entirely new range of applications, which previously could not be realised, or only with significant programming effort. For example: recognising objects with a very heterogeneous texture (e.g., plants) or differentiating between different textures in an image, e.g., (un)treated wood, metal or stone.HALCON 18.11 also introduces deep-learning-based object detection, which allows customers to localise trained object- or error classes in an image.
In contrast to semantic segmentation, objects are marked by a surrounding rectangle (bounding box). The object detection also separates instances of the same class, even if the objects touch each other or partially overlap. This is especially useful when the exact amount of objects is needed, e.g., when checking pill bags for correct filling.To maximise its potential in industrial environments, HALCON’s semantic segmentation and object detection inference can both be performed on GPUs, as well as CPUs.
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For both approaches, MVTec provides pretrained networks highly optimised for industrial machine vision applications based on millions of images. These networks make it easier to train new objects by reducing the amount of training images customers have to provide themselves.