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.
Discover now our HALCON Brochure
In our brochure you will find all important information about our software HALCON. Discover MVTec HALCON and benefit from new features.
The comprehensive standard software for machine vision for individual applications in various industries.
The version HALCON 22.05 seamlessly follows the previous releases: As usual, customers can look forward to both new features and useful enhancements of existing technologies:
Global Context Anomaly Detection The "Global Context Anomaly Detection" technology available in HALCON 22.05 is a world first in its form. As an extension of the deep learning technology "anomaly detection", this feature opens up completely new application areas by allowing the detection of logical anomalies in images.
Individualized training for OCR applications Using HALCON’s Deep OCR, you can efficiently address OCR applications for a variety of application areas. With the individualized training for OCR applications, you'll improve results, enhance usability, and make applications even more robust.
Optimized print quality inspection of ECC200 codes With HALCON version 22.05, print quality inspection (PQI) of barcodes and data codes is now faster and even more robust.
HALCON 22.05 offers even more improvements – for example, a new operator that helps to optimize image contrast locally. Another new operator permits image smoothing with randomly shaped regions.
HALCON 20.11 brings optimizations for a number of core technologies like surface-based and shape-based matching. With "DotCode", a new 2D code type has been added and with another new feature called "Deep OCR", MVTec introduces a holistic deep-learning-based approach for optical character recognition (OCR).
BUT THAT’S NOT ALL! With "deep learning edge extraction", HALCON 20.11 also brings a new and unique method to robustly extract edges. Especially for scenarios where a variety of edges is visible in an image, or when dealing with low contrast and high noise, deep learning edge extraction outperforms conventional edge extraction filters.
LEARN MORE ABOUT HALCON, THE MACHINE VISION SOFTWARE THAT SETS STANDARDS
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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.
MVTec HALCON offers a high-quality, quality-checked and secure programming code as well as clear licensing regulations. In addition, we accompany you professionally during the entire product life cycle, offer worldwide service and competent support.
HALCON is used worldwide, find out in which applications
Read our customers success stories to find out how HALCON can help you with your application.
The company Cretec Cybernetics implemented a robot-based depalletizing solution in order picking using the MVTec HALCON machine vision software. The application is able to recognize stacked boxes on pallets and depalletize them accordingly. Order…
DataVision and MVTec have developed a machine learning platform combining a cloud solution with machine vision to increase efficiency in development and production. The basis of the platform is an application that SICK AG has successfully implemented…
Anlagenbau Habeck GmbH & Co. KG has developed a robot-based pick and place machine for the food industry based on machine vision. Thanks to the MERLIC machine vision software from MVTec Software GmbH, the robot reliably picks up unsorted objects of…
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