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AI-based technologies in MVTec software

Deep Learning In Machine Vision

Deep learning enables complex machine vision tasks where classical methods reach their limits – for example, detecting variable surfaces, amorphous shapes, or unknown defects.

Our software provide fully integrated deep learning functions for industrial applications. Training, validation, and inference can be performed directly within the software environment – on GPUs (Graphics Processing Units), CPUs (Central Processing Units), or Arm®-based systems.

Deep Learning In Comparison

Classical machine vision relies on rule-based methods. Deep learning, in contrast, learns features automatically—an advantage for complex, variable objects.

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Our Deep Learning Methods

We offer a broad range of powerful deep learning methods for a wide variety of machine vision tasks. 

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Get Started With Deep Learning

From data acquisition and labeling to inference: With MVTec HALCON and the MVTec Deep Learning Tool, you have a complete toolchain for deep learning projects.

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Hardware acceleration with the AI² interface

For maximum performance, deep learning models can be executed directly on specialized hardware.

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Benefits of Deep Learning with MVTec

Automatic feature extraction: No manual feature engineering required.

Robustness: High tolerance to lighting and material variations.

Fast adaptation: Models can be trained for changed production conditions.

Efficient development: Shorter development times through optimized workflows.

APPLICATIONS IN PRACTICE

Our Success Stories

MVTec HALCON product icon
Warehouse where cheese wheels age during the ripening process
Revolutionizing cheese production with AI and machine vision
The food industry is experiencing a transformative shift in quality control, due in part to advances in artificial intelligence (AI). When combined with rule-based machine vision, AI is enabling automation of processes that were previously impossible…
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HALCON
Food & Beverage
Robotics
Anomaly Detection
Deep Learning
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Automatisierte Transport- und Inspektionsstation für pharmazeutische Ampullen mit Machine-Vision-System von Aspen.
AI-powered machine vision automates quality inspection in the pharmaceutical industry
The pharmaceutical company Aspen is improving the quality inspection of filled ampoules with the MVTec HALCON machine vision software and the consulting and technical support services provided by MVTec. With deep learning methods, the company has sig…
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HALCON
Medical Supplies & Pharmaceutical
Blob Analysis
Deep Learning
Matching
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Workflow der Produktion zylindrischer Lithium-Ionen-Batterien mit verteilten Sensorsystemen und zentraler Deep-Learning-Auswertung mit MVTec HALCON.
MVTec HALCON’s deep learning helps Panasonic Energy to propel automotive battery production
Panasonic Energy manufactures automotive batteries, for which demand is increasing worldwide, at multiple sites in Japan and North America. The company recently implemented MVTec HALCON’s deep learning technologies on a large scale at its Kansas plan…
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HALCON
Battery Production
Automotive
Deep Learning
Inspection
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Robotic welding cell inspecting car body weld seams using machine vision.
Machine vision optimizes quality inspection in automotive production
Consistently high quality is an absolute must in automotive production. To ensure that welded connections in body shells meet these standards, DGH has developed an application that automatically inspects them and identifies anomalies. The MVTec HALCO…
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HALCON
Automotive
Anomaly Detection
Deep Learning
Inspection
MVTec HALCON product icon
Hand-eye calibration enabling precise alignment between camera and robot for accurate gripping of accessory bags.
Perfectly positioned plastic bags – with classic machine vision and deep learning
Consistently automated pick-and-place activities require the reliable gripping of differently shaped and translucent objects. TEKVISA has implemented a sophisticated application that enables reliable gripping even with complex surfaces with the help…
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HALCON
Robotics
Deep Learning
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Fully automated packaging inspection system using machine vision for inline quality control in food packaging.
Deep learning detects defects in the food industry
Automation specialist INNDEO has developed a sophisticated automation solution for quality control in the packaging industry. Thanks to machine vision and deep learning technologies, high speeds and defect detection rates are no longer a problem.
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HALCON
Food & Beverage
Deep Learning
OCR
MVTec MERLIC product icon
Inspection setup for electrical connections using deep learning–based machine vision to detect defects.
An eye on everything with deep learning
Bosch Car Multimédia in Portugal specializes in the development and manufacture of electronic components for vehicle safety and dynamics, driver assistance, automated driving and car multimedia. The company uses the machine vision software MERLIC fro…
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MERLIC
Automotive
Electric Components
Deep Learning
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Vehicle passing a roadside machine vision system that inspects tires automatically for roadworthiness.
Tire profile determined with Deep Learning
The West Nippon Expressway Engineering Shikoku Company Limited ensures safe road traffic in Japan’s winter: With the machine vision software MVTec HALCON, the company automates the inspection of tires in ongoing traffic. Thanks to deep learning techn…
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HALCON
Security & Surveillance
Deep Learning
Inspection
MVTec MERLIC product icon
Classification heatmap generated by MERLIC 5 highlighting defect areas on toast packaging using deep learning.
How MERLIC 5 simply optimizes quality control in the food industry
Using MVTec MERLIC 5 with deep learning, an Integration Partner built an automated inspection system for toast packaging. Two cameras detect missing clips or misaligned wrapping, and MERLIC automatically classifies and rejects defective items — reduc…
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MERLIC
Food & Beverage
Packaging & Logistics
Classification
Deep Learning
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Battery laser welding system used in automated battery production with integrated machine vision inspection.
Full quality control with HALCON´s deep learning functions
One of the key challenges in automated battery production is achieving stable welds without damaging the housing. To meet strict automotive quality standards while reducing costs, Manz AG is developing inline inspection systems that enable full proce…
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HALCON
Battery Production
Electric Components
Machinery
Anomaly Detection
Deep Learning
Inspection
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Highest level of quality control thanks to HALCON's deep learning
Robotics & Vision Technologies (RVT) developed an automated quality control system for a Spanish frozen dough and bakery manufacturer using MVTec HALCON. Up to 140 products per minute are inspected in 2D and 3D and classified with deep learning, enab…
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HALCON
Food & Beverage
Classification
Deep Learning
MVTec HALCON product icon
LINX performs deep learning applications with MVTec HALCON
LINX uses MVTec HALCON for deep-learning-based object detection: In a Japanese market demo with about 100 training images per class, the system reliably detects electronic components in around 25 ms per image – an efficient solution when traditional…
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HALCON
Electric Components
Classification
Deep Learning
Object Detection

OUR KNOWLEDGE & SERVICES

Benefit From Our Expertise

PRACTICAL INSIGHTS & EXPERT KNOWLEDGE
Discover Our White Papers!

Explore our white papers to gain practical insights and expert knowledge on industrial machine vision. Download them now to understand key technologies, current trends, and real-world applications that support informed technical and strategic decisions.

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INDIVIDUALLY TAILORED
Evaluation Of Your Application

Do you want to know if we offer the right solution for your industry? Send us your software application design and our experts will check it.

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MVTec Software