MVTec software offers powerful methods for subpixel-accurate edge detection and line extraction. Even the finest structures are captured with maximum precision.
Facet model and Steger line detectors with an accuracy of up to 1/50 pixel.
Subpixel color edge and line detectors.
Subpixel thresholding methods.
With deep learning-based edge extraction, this technology has been further enhanced for particularly challenging situations, such as low contrast or strong noise.
Transformations: affine and projective transformations
Segmentation and fitting of lines, circles, ellipses, and rectangles
Merging collinear contours
Set operations: union, intersection, difference
Creating standard shapes: circle, ellipse, line, rectangle
Feature Extraction
Area, center, orientation, circularity, compactness
Contour length, convexity, ellipse axes
Moments of any order, eccentricity
Envelopes: convex, circular, rectangular
Selecting contours based on shape features
Efficiency Through ROIs
Contours can be defined as regions of interest (ROIs). This ensures that subsequent operators consider only relevant pixels.
As a result, efficiency increases, computational effort is reduced, and overall performance improves.
APPLICATIONS IN PRACTICE
Our Success Stories
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…
Dynamic OCR inspection with HALCON ensures maximum product quality
In the pharmaceutical industry, strict compliance regulations require medical product packaging to be correctly labeled before delivery. To meet these requirements, the Chinese company Shenzhen Jiangrun Xuneng Technology has developed a powerful mach…
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…
The Heinz Nixdorf Institute (HNI) joined the MVTec on Campus program in 2022. The University of Paderborn is a renowned research and educational institution specializing in the field of computer science and its applications in the context of digital…
Intelligent Image Recognition for Automotive Logistics
An intelligent, database-based image recognition system supports order picking in automotive logistics. It shows staff the correct component, uses cameras to verify that packaging is ready for shipment, and enables seamless documentation. The solutio…
Industrial Inspection: Line-scan-based vision system tackles color print inspection - Daheng Image Vision
Daheng Image Vision uses a line-scan vision system with two Teledyne DALSA cameras and MVTec HALCON to inspect color prints on conveyor belts at 300 m/min. The system reliably detects ink spots, embossing errors, and misregistration, enabling compreh…
Vision System Inspects X-ray Dosimeter Badges – Helmholtz-Zentrum
Helmholtz-Zentrum Munich uses HALCON to fully automate the evaluation of approximately 120,000 X-ray dosimeter films per month. Optical density, film type, and dosimeter numbers are precisely captured, and radiation sources are analyzed. The system s…
NP Plastics in the Netherlands manufactures small plastic rings used in binder closing mechanisms. To increase throughput and improve quality, the company deployed a machine vision system with two AVT FireWire cameras, LED illumination, and HALCON so…
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…
Advancing machine vision education at Reutlingen University
At Reutlingen University, Professor Arnd Buschhaus has been integrating MVTec HALCON into the teaching curriculum since 2018. HALCON is used extensively in courses related to robotics and machine vision, providing students with practical experience i…
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…
Machine Vision automates and optimizes battery inspection
A variety of defects can occur during battery production. Averna has developed a method for the automated inspection of batteries that reliably detects all conceivable defects. Here, the machine vision software MVTec HALCON plays a key role.
A global company needed to quickly ramp up vaccine production. Goldfuß engineering GmbH and SIMON IBV GmbH developed a robot-based solution for loading and unloading trolleys with the vaccine vials. The machine vision software HALCON ensures the seam…
Machine vision improves the measuring process of precision and micro components
The precise inspection of very small precision components, for example in watchmaking, is a challenge. Petitpierre, the Swiss specialist for high-precision technology, has developed sophisticated applications with which micromechanical components can…
High speed, precision, and reliability: These are the determining factors for battery production. To meet the rapidly growing demand for batteries, companies are developing increasingly efficient production processes. Laserax has developed a new syst…
Seeing robots process large work area with high precision
The automation specialist AKEOPLUS has developed an innovative robotic cell for the production of satellite panels at the global space manufacturer Thales Alenia Space. The special feature: robots place the components with high absolute accuracy to a…
Technical University of Applied Sciences Würzburg-Schweinfurt
At Technical University of Applied Sciences Würzburg-Schweinfurt (THWS), Professor Christian Zirkelbach is teaching robotics and machine vision at Faculty of Applied Natural Sciences and Humanities. He has integrated advanced machine vision tools int…
To identify products quickly and reliably, even in difficult circumstances, machine vision has proven its worth. The company Visione Artificiale also relies on machine vision for its system to trace aluminum bottles during production. Within this sys…
The Dutch company PackCheck BV ensures packaging quality in the food industry with a modular solution. Part of the solution is the machine vision software HALCON from MVTec Software GmbH. This enables the company to increase the efficiency of packagi…
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…
MVTec offers three core products that cover the full range of machine vision workflows. Use HALCON to develop advanced, custom applications, MERLIC to build solutions quickly without programming, and the Deep Learning Tool to label and evaluate training data efficiently.
