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Halcon13将于2016年11月1日正式发布

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    发表于 2016-9-22 12:16:13 | 显示全部楼层 |阅读模式

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    The new major version MVTec HALCON 13 will be released on November 1, 2016. Let HALCON 13 excite you with numerous new features and improvements, some of which will be previewed here up to the release. You will also find more information about the HALCON 13 World Tour and MVTec's appearance on this year's VISION fair on this page.







    To mark the launch of the new version of our flagship product HALCON, we will once again be doing an international road show. During this "HALCON 13 World Tour," we will be joining forces with our distributors to present the latest features and improvements of our standard machine vision software.

    We will be adding more details regarding the World Tour soon, so stay tuned!


    Feature Preview

    Learn more about some of HALCON 13's new features before the official release. Over the next few months, we will be adding new features continuously, so be sure to check back!



    Speedups

    With HALCON 13, a giant leap in performance for shape-based matching, one of HALCON's core technologies, has been accomplished. For example, speedups of more than 300% can be achieved on machines with AVX2-compatible processors, when searching in byte images with a small number of pyramid levels. But not only that, HALCON 13 also offers significant speedups for all related technologies, i.e., shape-based 3D matching, local and perspective deformable matching, and component-based matching.




    Texture Inspection
    Training image with flawless texture
    Image with a detected defect


    Texture inspection can be a challenging task because textures often have very different characteristics like scale or bright-ness. Thus, setting up a texture inspection system is often tricky. HALCON 13 therefore offers an easy-to-use texture inspection, which is configured by simply passing some training images. The algorithm automatically adjusts the necessary parameters based on training images that show flawless texture. The trained texture inspection model can then be used to detect potential texture defects.




    3D Matching and 3D Reconstruction
    Reconstruction of a 3D object

    In HALCON 13, surface-based 3D matching has been improved to be more robust when dealing with flat surfaces. This improvement particularly supports applications like picking of boxes. HALCON 13 also offers a new method to reconstruct 3D objects from multiple cameras with high quality. This new method uses the information of all camera views at once leading to more robust results than provided by common stereo reconstruction methods.




    Major improvements in identification technologies
    HALCON 13 reading a defective bar code
    Automatic text reading of dot print characters


    With HALCON 13, MVTec offers deep-learning-based OCR for the first time: HALCON now contains a new OCR classifier based on deep learning technology, which can be used via a number of pretrained fonts. With these, it is possible to achieve higher reading rates than with all previous classification methods. Further, the automatic text reader in HALCON 13 is faster and now also supports reading of dot print characters.

    HALCON 13 also reads bar codes even if large parts of the code are either defective or not visible at all. Additionally, the QR code reader has been improved and is now much more robust against common challenges like blur or distortion.




    VISION 2016


    From November 8-10, 2016, we will be presenting our new version HALCON 13 as well as MERLIC 2 at VISION 2016 in Stuttgart, the world's leading machine vision trade fair. We are looking forward to your visit at our booth E72 in hall 1. Come and experience the features of HALCON 13 for yourself. Besides learning about our software products, you will also have the chance to experience live demonstrations of them. More information on our demos will be added to this page soon.





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  • TA的每日心情
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     楼主| 发表于 2016-11-9 22:45:36 | 显示全部楼层

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    halcon 10~halcon 13 license 下载:https://www.51halcon.com/thread-387-1-1.html
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