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Newest features of HALCON 25.11
MVTec HALCON 25.11 has been launched in November 2025. This version again brings some improvements as well as new features, such as Continual Learning – Classification, a new technology that makes training and maintaining classification models faster and more flexible. The new HALCON release also includes Score Visualization for Shape Matching, Optimized Deep OCR models for faster, resource-efficient OCR and further improvements.

MVTec HALCON 25.11, released in November 2025, represents the latest advancement in standard machine vision software, designed to streamline the development of robust industrial applications. As a Progress Edition release, it introduces cutting-edge features that prioritize adaptability and speed, particularly for edge computing and embedded environments. This version bridges the gap between static lab training and dynamic real-world conditions, offering developers powerful new tools for both deep learning and classic machine vision tasks.

A standout feature in this release is Continual Learning, which allows deep learning classification models to be retrained directly on the device with only a handful of new images. This capability eliminates the need for extensive retraining pipelines or powerful GPUs, enabling systems to adapt quickly to changing production conditions or new product variants. Additionally, the integration of MobileNetV4 supports highly efficient classification and object detection, ensuring high performance even on resource-constrained hardware.

Beyond deep learning, HALCON 25.11 brings significant enhancements to traditional vision methods. The new score visualization for shape matching provides developers with detailed feedback on match quality, making it easier to diagnose issues in challenging lighting or with partially occluded objects. Deep OCR has also been optimized for speed, offering recognition rates up to 50 times faster on embedded devices, alongside improved handling of text alignment.
For developers, the inclusion of a preview for the new HALCON Script Engine marks a shift toward more modern, flexible integration capabilities. Combined with updated support for QR code reading on curved surfaces and compliance with the latest international standards, HALCON 25.11 solidifies its position as a comprehensive toolkit for solving complex inspection, identification, and guidance tasks in modern manufacturing.
MVTec HALCON 25.11 crack was released on 12 November 2025. It is a major update of MVTec’s industrial machine vision software, focusing on deep learning, performance, edge devices, and industrial compliance.
MVTec HALCON 25.11 crack Key Highlights
Continual Learning for Classification
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Enables retraining classification models with only a few new images per class
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New classes can be added without full retraining
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Prevents catastrophic forgetting
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Works on embedded and edge devices
Shape Matching Score Visualization
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Visualizes how different regions of a shape model contribute to the matching score
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Color-coded feedback shows strong and weak matching areas
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Helps with debugging and optimizing matching applications
Optimized Deep OCR
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New OCR models with much faster inference
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Significantly reduced hardware requirements
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Designed for serial numbers, labels, and text reading in production
MobileNetV4 Support
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Adds efficient deep learning models for classification and detection
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Optimized for edge and low-power hardware
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Pretrained for industrial inspection tasks
Code Reading and Print Quality Inspection
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Improved robustness for QR codes and barcodes on curved or distorted surfaces
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Better tolerance for irregular barcode widths
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Supports newer international print quality inspection standards
Software Bill of Materials (SBOM)
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HALCON now includes built-in SBOM files
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Improves transparency and cybersecurity compliance
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Helps meet modern regulatory requirements
Developer and Tooling Improvements
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Enhancements to the HDevelopEVO IDE
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Syntax highlighting for HALCON Script
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Preview of a new HALCON Script Engine with C++ API
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Improved performance of core operators and image processing functions
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Better usability features such as live histograms and pixel inspection
MVTec HALCON 25.11 crack Summary
HALCON 25.11 focuses on:
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Faster and more flexible deep learning workflows
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High performance on embedded systems
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Better visualization and interpretability
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Compliance with modern industrial and security standards
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Improved developer experience
























