MVTec Software

MVTec Software GmbH is a leading international manufacturer of machine vision software, offering a portfolio that includes HALCON, MERLIC, and the Deep Learning Tool.

About MVTec Software

MVTec Software GmbH is a leading international manufacturer of machine vision software, offering a portfolio that includes HALCON, MERLIC, and the Deep Learning Tool.

Products

  • MERLIC

    Industrial Automation

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    Easy-to-use no-code software for creating machine vision applications quickly and intuitively, combining image acquisition, processing, analysis, communication, and visualizatio...

  • HALCON

    Industrial Automation

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    Comprehensive 2D & 3D machine vision software for developing, deploying, and operating reliable vision applications across industries, featuring an integrated development enviro...

  • Deep Learning Tool

    Training Data & Labeling

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    Tool for fast labeling of training data and efficient evaluation of deep learning models for machine vision applications.

  • Embedded Vision

    Industrial Automation

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    Software solutions tailored to the needs of embedded vision devices, including support for Arm-based platforms and porting services.

What customers say

  • HALCON

    PSI Technics uses HALCON in its DA-MI-KA train-roof inspection system to detect and classify damage from camera images. MVTec reports that automation can reduce inspection time from 1.5 hours to as little as 10 minutes.

    Case study
  • HALCON

    MAB Möbel operates a HOMAG robotic cell using HALCON to locate randomly stacked wooden workpieces and read barcodes for CNC processing. MVTec reports that the system entered operation in summer 2025 and reduced manual…

    Case study
  • MERLIC

    Anlagenbau Habeck uses MERLIC matching to determine food products' positions and orientations for conveyor-based robotic picking. MVTec reports that the completed application reduces planning effort for future customer…

    Case study

Security and compliance

As reported by MVTec Software. Ask for audit reports before you buy.

  • Responsible disclosure policy
  • Security update notifications for customers
  • Vulnerability reporting mechanism

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Latest updates from MVTec Software

New feature

MVTec Adds Continual Learning Feature to HALCON 25.11

MVTec has introduced 'Continual Learning' as a new deep learning feature within HALCON 25.11. This feature enables existing classification models to be retrained for changing industrial environments using minimal image data, effectively mitigating 'catastrophic forgetting' where previously learned knowledge is lost. Designed to run on standard CPUs, the feature simplifies model adaptation for embedded and edge devices, allowing retraining without requiring extensive machine vision expertise.

Partnership

MVTec Partners with Qualcomm for Embedded AI Acceleration

MVTec has entered a technology partnership with Qualcomm Technologies to accelerate deep learning applications on smart cameras and embedded devices. This collaboration focuses on creating an interface between HALCON software and the Qualcomm Dragonwing RB3 Gen 2 platform, utilizing the processor's Neural Processing Unit (NPU) for high-performance, power-efficient AI inference. Qualcomm joins the MVTec Technology Partner Program through this project.

PartnerQualcomm Technologies, Inc.
Product launchPricing

MVTec Launches MERLIC 26.03 with Revised Pricing and New Integration Features

MVTec has released MERLIC 26.03, adopting a new year-month versioning system and a simplified, two-tier pricing model (MERLIC and MERLIC Professional). The update removes previous camera connection limits to allow for greater scalability. New features include 'Frontend Observability' to support audit trails, an improved write-access widget for user management, and a communication plug-in for integration with Beckhoff TwinCAT systems.

IntegrationBeckhoff
New feature

MVTec Releases HALCON Update Focusing on Speed and AI Performance

MVTec has released an update to its HALCON machine vision software, focusing on performance improvements for AI and rule-based methods. Key enhancements include a new rectification function for interpreting Data Matrix codes on deformed surfaces, automatic contour optimization for shape matching, and faster deep learning-based object detection. The release also includes a preview of the HDevelopEVO development environment featuring .NET interface support and upgraded multimodal LLM capabilities.