MVTec HALCON 24.11

HALCON – the powerful software for your machine vision application
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.

HALCON provides you with continuous access to the latest technologies to solve machine vision applications. Find out more about the different editions and their release cycle.

MVTec HALCON offers you all the advantages of a commercial, proprietary machine vision standard software. You benefit from an end-to-end solution for all machine vision tasks as well as short release cycles with continuous product optimization and function enhancements.

This new HALCON feature makes it easy to recognize unexpected behavior caused by incorrect classifications in production. Thus, users can take appropriate measures, such as stopping the machine, in a targeted and efficient manner. When using a deep learning classifier, unknown objects are assigned to one of the classes that the system has learned. This can lead to problems if, for example, the defects or objects themselves are of a type that has never occurred before. The new deep learning feature “Out of Distribution Detection (OOD)” indicates when an object is classified that was not included in the training data. For example, this could be a bottle with a green label if the system was only trained on bottles with red or yellow labels. In such cases, HALCON provides the message “Out of Distribution” together with an OOD score that indicates how much the deviation from the trained classes is.

The OOD score can also be useful when expanding deep learning models with new training images by indicating which of the new images will have the greatest value for the new model. For example, a high OOD score for a new training image indicates a greater deviation from the images already in the network – this means a higher information content and, therefore, greater value for the training.
HALCON 24.11 has a special highlight for all users of HALCON’s own integrated development environment (IDE) HDevelop: a preview of the new IDE HDevelopEVO. This is characterized, among other things, by a more modern, intuitive user interface and an improved editor (i.e., the central programming element). The latter enables faster and more efficient programming and prototyping of machine vision applications. Users can already extensively test the new development environment in HALCON 24.11. The range of functions of HDevelopEVO will be continuously expanded in the coming releases and it will over time become the standard HALCON development environment.

Deep 3D Matching

With this feature, HALCON 24.11 contains a deep-learning-based market innovation for the 3D vision sector, especially for bin-picking and pick-and-place applications. This feature is particularly robust in determining the exact position and rotation of a trained object and is characterized by very low parameterization effort and fast execution time. Depending on the accuracy requirements, one or more cost-efficient standard 2D cameras can be used to determine the position. Training is performed exclusively on synthetic data generated from a CAD model. Further training is therefore not required.

Customers can already run this feature in HALCON 24.11 – to train the model and evaluate applications, they can contact MVTec at any time. Training and evaluation within HALCON will follow in the next release.

Product: MVTec HALCON 24.11
Version: 24.11
Supported Architectures: x64
Language: English
Supported Operating Systems: Centos 7-8/Windows
Size: 1DVD