MVTec HALCON 24.05 machine vision with crack

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MVTec HALCON v24.05 full crack download working tested

MVTec

HALCON Progress 24.05

The new HALCON 24.05 release comes in a Progress edition. With HALCON 24.05 MVTec raises existing machine vision technologies to a new level. With the new edition,

SKU: 2408173 Category: Cad/Cam

Description

MVTec HALCON v24.05 full crack download working tested

MVTec

HALCON Progress 24.05

The new HALCON 24.05 release comes in a Progress edition. With HALCON 24.05 MVTec raises existing machine vision technologies to a new level. With the new edition, MVTec is once again delivering on their promise to provide users with one of the world’s most powerful and technologically advanced machine vision software solutions.

MVTec 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.

Highlights

HALCON is your solution for the full range of applications in the field of machine vision
Enabler of the Industrial Internet of Things (aka Industry 4.0)
Large imaging library of more than 2,100 operators
Integrated development environment (IDE) for machine vision: HDevelop
Huge range of features including deep learning
Easy programming in C, C++, C#, Python, and Visual Basic .NET
Available for a multitude of platforms
Support of multi-core and multiprocessor computers
High performance through utilization of state-of-the-art instruction sets and GPU Acceleration
Support of hundreds of industrial cameras, frame grabbers, and all common vision standards

Features

Revolutionary software for 3D machine vision
Matching to find even rotated or partly occluded objects
Blob analysis with more than 50 shape and gray value features
High-accuracy measuring
Huge range of latest deep learning technologies
Optical character recognition and verification (OCR/OCV)
Arbitrarily shaped regions of interest (ROIs) for significant flexibility and speed
Detection of lines, circles, and ellipses with an accuracy of up to 1/50 pixel
Extremely fast morphology
Color image processing and hyperspectral imaging
Processing of extremely large images (more than 32k x 32k)
Image sequence processing (e.g., for surveillance tasks)
Accurate 3D camera calibration

>HALCON 24.05

Extended parameter estimation for Shape Matching

HALCON 24.05 introduces the first iteration of the extended parameter estimation for Shape Matching. With its subpixel accuracy, Shape Matching finds objects robustly and accurately in real-time, even in the most challenging situations. Thanks to the extended parameter estimation, manual parameter adjustments will soon be a thing of the past. Using multiple annotated images, users can now easily optimize for maximum online speed while keeping robustness through automated parameter tuning. Users thus benefit from a faster implementation of shape matching applications, even without specialized expertise. Shape Matching has never been easier!

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Bar code reader improvements for stacked bar codes

The bar code reader for GS1 DataBar Expanded Stacked codes has been improved in HALCON 24.05. Depending on the application, customers can expect significant improvements to their decoding rates. This will especially benefit industries such as logistics, retail, and manufacturing, where stacked bar codes are an essential means of tracking and tracing goods.

Importing 3D object models from the STEP format

Starting with version 24.05, HALCON supports the STEP (Standard for the Exchange of Product Data) file format, the industry standard for 3D CAD data. Customers can now seamlessly load STEP CAD data directly into a HALCON 3D object model without any intermediate steps or conversions. The STEP format is supported by most common CAD programs, increasing interoperability and efficiency, because models for 3D matching can be taken directly from the planning data in the CAD software.

New version of the OpenVINO™ Toolkit AI² plugin

Parallel to the HALCON 24.05 release, a new version of the OpenVINO Toolkit AI² plug-in will be released. This update uses the latest LTS version of the Intel® Distribution of OpenVINO™ Toolkit, ensuring compatibility with the latest Intel hardware and boosting the inference performance of deep learning applications. Notably, the new plug-in version enhances support for Intel’s 13th generation of Core processors, leading to improved inference performance. In addition, customers can now also utilize Intel’s discrete graphics cards for inference, providing greater flexibility in selecting the appropriate hardware for their application.

295543bad3bb6dd23c9f7d7f19874d33 Speedups and further improvements

24.05 also includes several performance optimizations for various core technologies. For example, unwrapping byte images using a vector field is now up to 285 % faster on AVX2-capable Intel CPUs. The operator map_image is now up to 25% faster as well. In addition, HALCON 24.05 provides adjustments to many operators to address performance impacts resulting from Intel’s resolution of the “Downfall” security vulnerability.

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>HALCON 23.11
MVTec license server cloud ready
With HALCON 23.11, customers have an additional “cloud-ready” variant of the license server at their disposal. This now makes it possible to license HALCON in the environments of commercial cloud providers as well as in enterprise-owned cloud setups without the need for a hardware dongle, solely through a network connection. This means that HALCON can now be easily licensed across all cloud solutions. By using HALCON in the cloud, customers can easily benefit from the new possibilities offered by machine vision in the cloud.

Structured light 3D reconstruction
In HALCON 23.11, the structured light model has been enhanced: besides deflectometry, it now also provides precise 3D reconstruction for diffuse surfaces in short cycle times. This enhancement gives users the flexibility to develop their own application-specific 3D reconstruction systems using a pattern projector and a 2D camera. The feature is particularly suitable for applications where precise spatial representations are required. As a result, the technology is suitable for the optimization of manufacturing processes, quality control, and the precise measurement of various surfaces.

Multi-Label Classification
In the new HALCON version, customers now have access to multi-label classification, a new deep learning method that allows the recognition of multiple different classes on a single image. Such classes can encompass various properties of the objects within the image, for example defect types, color, or structure. In practice, this method can, for instance, reveal the presence of different types of defects in an image, allowing a more detailed classification. Compared to other methods, this deep learning method is faster in processing and the effort for labeling is also lower.

Further Improvements
In HALCON 23.11, a number of improvements for existing methods and technologies were implemented. For Global Context Anomaly Detection, a method for detecting complex anomalies, the underlying neural network has been further optimized. This improves the accuracy of anomaly detection without increasing hardware requirements or execution time. In addition, HALCON now utilizes the latest NVIDIA® CUDA® toolkit. This provides users with the opportunity to choose from an even greater range of AI accelerators. For example, the new NVIDIA Jetson OrinTM modules are now supported as well. Finally, several performance optimizations of HALCON’s core technologies have been implemented in HALCON 23.11. For example, template matching operators (NCC Matching) now run up to 80% faster on Arm-based systems.

MVTec HALCON 24.05 machine vision with crack

MVTec HALCON v24.05 full crack download working tested

MVTec

HALCON Progress 24.05

HALCON Progress 24.05

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