Mvtec Halcon License

MVTec HALCON strengths: A significantly larger and powerful 2D and full scope 3D machine vision library at a significantly lower run time license price. HALCON supports 5 times the number of 2D and 3D image acquisition devices, provides higher bit depth image processing, GPU acceleration, support for Windows, MAC OS X, & Linux and several. Interested parties can already try out these previously released HALCON Progress functions by downloading the latest Progress version 20.05 and requesting an evaluation license. They will thus be well prepared for the new version, which will be available in November. About MVTec Software GmbH. MVTec Software GmbH - Software License Agreement for HALCON IMPORTANT - READ CAREFULLY: This Software License Agreement (Agreement) is a legal Agreement between you (either an individual or a single entity) and MVTec Software GmbH (MVTec) for the MVTec software product identified above, which includes computer software and may include associated media, printed materials and online.

Language interface for using the HALCON library in .NET applications

For projects that support PackageReference, copy this XML node into the project file to reference the package.
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r directive can be used in F# Interactive, C# scripting and .NET Interactive. Copy this into the interactive tool or source code of the script to reference the package.
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
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Release Notes

Release for HALCON 21.05.0

MvtecKey

Dependencies

  • .NETCoreApp 3.1

    • MVTec.HalconDotNet(>= 21050.0.0)

Used By

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

Mvtec halcon license verification

This package is not used by any popular GitHub repositories.

Version History

License
VersionDownloadsLast updated
21050.0.0 193 5/20/2021
20112.0.0 54 7/13/2021
20111.0.0 367 11/19/2020
20110.0.0 161 11/19/2020
20050.0.0 642 5/18/2020

MVTec Halcon 13 Test With Codemeter Dongle Clone

Highlights of MVTec HALCON

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HALCON is your resolution for the complete vary of applications within the field of machine vision Enabler of the economic web of Things (aka trade four.0) giant imaging library of quite a pair of,000 operators Integrated development atmosphere (IDE) for machine vision.

Mvtec Halcon License Lookup

HDevelop vast vary of options as well as deep learning straightforward programming in C, C++, C#, and Visual Basic .NET offered for a large number of platforms Support of multi-core and digital computer computers High performance through utilization of progressive instruction sets and GPU Acceleration Support of many industrial cameras, frame grabbers, and every one common vision standards Features Revolutionary package for 3D machine vision Matching to search out even turned or part occluded objects Blob analysis with quite fifty form and grey price options High-accuracy measurement Optical character recognition and verification (OCR/OCV) willy-nilly formed regions of interest (ROIs) for vital flexibility and speed Detection of lines, circles, ANd ellipses with an accuracy of up to 1/50 element extraordinarily quick morphology Color image process and hyperspectral imaging process of extraordinarily giant pictures (more than 32k x 32k) Image sequence process (e.g., for police work tasks)
correct 3D camera standardization and far additional…

With HALCON 13, MVTec

offers deep-learning-based OCR for the first time: HALCON now contains a new OCR classifier based on deep learning (resp. machine 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.

Mvtec Halcon Crack

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.