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MVTec HALCON Progress

Comprehensive image processing software for machine vision with an integrated development environment (IDE) that is used worldwide.

  • Latest Version 20.5 released in May
  • Subscription based with upgrade every 6 months
  • Market leading performance
  • Deep learning out of the box
  • The way to keep up with MVTec’s latest Deep Learning tools

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Contact us for pricing and availability – sales@multipix.com +44 (0)1730 233332

Introducing HALCON 20.5 – This release will further improve machine vision processes with a number of new and revised features.

Here are the highlights of the new version:

  • Reading very small codes with the subpixel bar code reader
  • More flexibility with deep learning training on CPU
  • More accurate and robust matching results with surface-based 3D matching
  • More robust generic box finder for pick-and-place applications
  • CPU support for Grad-CAM-based heatmap
  • Significant improvements for anomaly detection

Improved Subpixel Bar Code Reader

Thecomparison between the bar code reading in HALCON 19.11 and 20.05.

The bar code reader has been improved by an advanced decoding algorithm. Thanks to this, the bar code reader in HALCON 20.05 is even capable of reading codes with an element size smaller than 1 pixel.

More robust Surface-Based 3D Matching

HALCON's improved surface-based 3D matching

With HALCON 20.05, surface-based 3D matching is more robust in case of almost symmetric objects.

Especially in the assembly industry, workpieces must be located robustly and accurately to allow for further processing. Often, properties like small holes are the only unique feature to find the correct orientation of the object.

HALCON’s surface-based 3D matching can now make use of these features to increase accuracy and robustness of the matching result.

Deep Learning Training on CPU

Training for deep learning can be performed on the CPU now.

With HALCON 20.05, training for all deep learning technologies can be performed on the CPU. By removing the need for a dedicated GPU, standard industrial PCs (that could not house powerful GPUs) can now be used for training as well. This greatly increases customers’ flexibility in implementing deep learning, because training can now be performed directly on the production line, making it possible to adjust the application to changing external conditions “on the fly”.

 

Further Improvements include:

More robust Generic Box Finder

The generic box finder, which was released with HALCON 19.11, allows users to locate boxes of different sizes within a predefined range of height, width, and depth, removing the need to train a model. With HALCON 20.05, it was improved in terms of robustness, performance, speed, and usability. Now, it is much easier to find a wide range of different sizes of various boxes in a robust way.

Anomaly Detection Improvements

The anomaly detection significantly facilitates the automated surface inspection by only requiring a low number of high quality “good” images for training. With HALCON 20.05, training a network for anomaly detection is now up to 10 times faster. Combined with an also faster inference, this opens up entirely new possibilities for trying deep learning on new and existing applications: Training a new network can now mostly be done in a matter of seconds, allowing users to perform many iterations to fine-tune their application without sacrificing a lot of precious time. Trained networks now also require less memory and disk space, which makes HALCON’s anomaly detection more viable for the use on embedded devices.

CPU Support for Grad-CAM-based Heatmap

The Grad-CAM-based heatmap (Gradient-weighted Class Activation Mapping) supports you in analyzing which parts of an image influence the classification decision. In HALCON 20.05, the heatmap calculation can also be performed on the CPU. Since this can be done without significant speed drops, customers are now able to analyze their deep learning network’s class prediction “on the fly”.


Contact

Registered Address

Enterprise House, 1 Ridgeway Office Park, Bedford Road, Petersfield, Hampshire GU32 3QF UK

Registered Name

  • MultiPix Imaging Components Ltd
  • Co No. 8252151
  • VAT No. GB154141636

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