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    Home»Robotics»New MVTec HALCON model contains deep learning-based know-how for sturdy bin selecting
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    New MVTec HALCON model contains deep learning-based know-how for sturdy bin selecting

    Arjun PatelBy Arjun PatelJune 1, 2025No Comments7 Mins Read
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    New MVTec HALCON model contains deep learning-based know-how for sturdy bin selecting
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    • Deep 3D Matching as a strong, versatile and quick characteristic for locating objects in three-dimensional house
    • As well as: Quite a few enhancements and optimizations of already accessible applied sciences
    • Launch on Could 27, 2025

    MVTec Software program GmbH (www.mvtec.com), a number one world producer of machine imaginative and prescient software program, is launching the brand new model of MVTec HALCON on Could 27, 2025. Model 25.05 of the usual machine imaginative and prescient software program contains quite a few enhancements in addition to a brand new know-how that mixes deep studying algorithms with traditional strategies. “We all the time wish to provide our prospects the newest machine imaginative and prescient applied sciences and repeatedly replace present options. With the brand new HALCON model, we now have as soon as once more achieved this aim. With Deep 3D Matching, we’re offering a know-how that has by no means existed on this type earlier than. On the identical time, we now have additional improved the efficiency and usefulness of present deep studying strategies,” says Jan Gärtner, Product Supervisor HALCON at MVTec.

    Deep 3D Matching, which was already accessible with restricted performance within the earlier model, is especially appropriate for bin-picking and pick-and-place purposes. Relying on the necessities, a number of cost-efficient normal 2D cameras can be utilized to find out the place. As a part of the enhancements, the neural networks have been optimized for deep learning-based textual content studying. As well as, the code reader for QR codes has been improved, a brand new set of operators for picture acquisition have been added, and lots of different smaller enhancements have been made. “In the intervening time, a very vital subject for MVTec is the brand new growth of the built-in growth atmosphere HDevelopEVO. Customers can already take a look at HDevelopEVO. For the brand new model, we now have prolonged the vary of options that can be utilized,” explains Jan Gärtner.

    Prepare your individual Deep 3D Matching fashions
    Deep 3D Matching is a brand new deep-learning-based know-how for quick and sturdy 3D object detection and pose estimation utilizing 2D photos. It requires minimal parametrization and delivers excessive efficiency, making it very best for purposes akin to bin selecting and robotic dealing with – even in difficult situations.

    With HALCON 25.05, customers can now prepare their very own Deep 3D Matching fashions independently, with out requiring MVTec assist. A brand new renderer permits them to generate coaching knowledge from a CAD mannequin of the related object and thus additionally permits coaching solely with synthetically generated, labeled knowledge. This enables for a really versatile setup and might cowl varied object properties like reflections and transparency.

    With the brand new coaching performance, prospects can now create 3D matching purposes tailor-made to their particular wants and atmosphere. If desired, mannequin coaching can nonetheless be commissioned as a paid service by means of MVTec.

    Extra sturdy Deep OCR with alignment-based textual content correction
    In some purposes, working Deep OCR’s detection mannequin, which localizes phrase areas within the picture, is probably not possible as a result of tight cycle time constraints. In such instances, customers outline textual content areas manually or by means of rule-based picture processing, which may result in inaccurate recognition as a result of suboptimal crops.

    With HALCON 25.05, Deep OCR thus contains an alignment step earlier than recognition. This step refines tough phrase crops, considerably bettering studying accuracy even when textual content areas are positioned imprecisely. Consequently, customers can bypass the detection mannequin whereas sustaining dependable OCR outcomes – resulting in a substantial discount in processing time.

    This makes textual content recognition workflows not solely extra versatile but in addition a lot sooner, as exact ROI (area of curiosity) placement is now not required. The alignment step itself is extremely environment friendly and provides solely minimal processing overhead.

    Core characteristic enhancements
    With model 25.05, HALCON improves its code reader with QR code rectification, enabling dependable studying even on curved or deformed surfaces. This expands software potentialities in industries akin to logistics, packaging, meals manufacturing, and bottle labeling, the place QR codes typically seem on non-flat supplies. The rectification course of ensures greater readability with out requiring completely flat surfaces. It’s non-obligatory and will be enabled as wanted. Whereas processing time is barely longer than normal QR code studying, the improved robustness makes it a beneficial addition for demanding purposes.

    The 25.05 launch of HALCON additionally provides the likelihood to interrupt coaching for Generic Form Matching, giving customers higher flexibility and management over the method. Coaching can now be stopped manually or restricted with a timeout (e.g., after 1 second), guaranteeing environment friendly operation with out pointless ready occasions. Beforehand, as soon as coaching began, it needed to run to completion, which might result in delays – particularly in embedded purposes with restricted assets. Now, customers can seamlessly combine coaching into their workflows, stopping lengthy processing occasions and bettering responsiveness.

    New picture acquisition interface for contemporary digicam applied sciences
    HALCON 25.05 introduces a brand new set of picture acquisition operators designed for seamless integration with state-of-the-art digicam know-how. Whereas MVTec has all the time centered on environment friendly digicam connectivity, fashionable requirements like GigE Imaginative and prescient and USB3 Imaginative and prescient deliver each new alternatives and new challenges. The brand new interface simplifies digicam dealing with whereas offering full management over superior configurations.

    These new operators present a clearer, extra intuitive interface, optimized for traditional use instances whereas sustaining full management over the GenICam GenTL structure. Moreover, they assist a number of streams if offered by GenICam GenTL units. Customers can anticipate efficiency equal to and even sooner than earlier operators, guaranteeing a easy transition to the newest digicam know-how.

    New model of HDevelopEVO
    Along with HALCON 25.05, a brand new model of HDevelop EVO can also be accessible, which supplies customers with varied new options: HDevelopEVO 25.05 introduces assist for referencing procedures saved in exterior recordsdata. Customers can now break up their applications into a number of recordsdata and reference procedures throughout them. This allows cleaner program construction and is a primary step towards future assist for modular libraries.

    To deal with a typical want in machine imaginative and prescient workflows, the newest model additionally provides the grey worth histogram – one of the vital incessantly used instruments for picture evaluation. It permits the person to visualise the distribution of pixel intensities in a picture and to interactively set thresholds to pick related areas for additional processing.

    Lastly, to assist builders extra successfully, HDevelopEVO 25.05 additionally introduces AI assistants. These embrace an interactive chat, brokers for, e.g., IDE instructions and shell instructions, and automated code completion. Customers can select between cloud-based, self-hosted, or native AI fashions whereas sustaining full management over knowledge and mannequin utilization. The AI assistants have to be explicitly activated by the person.

    About MVTec Software program GmbH
    MVTec is a number one producer of ordinary software program for machine imaginative and prescient. MVTec merchandise are utilized in a variety of industries, akin to semiconductor and electronics manufacturing, battery manufacturing, agriculture and meals, in addition to logistics. They permit purposes like floor inspection, optical high quality management, robotic steerage, identification, measurement, classification, and extra. By offering fashionable applied sciences akin to 3D imaginative and prescient, deep studying, and embedded imaginative and prescient, software program by MVTec additionally permits new automation options for the Industrial Web of Issues aka Business 4.0. With areas in Germany, the USA, France, Benelux, China, and Taiwan, in addition to a longtime community of worldwide distributors, MVTec is represented in additional than 35 international locations worldwide. www.mvtec.com

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    Arjun Patel
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