Automated sealant application in aerospace manufacturing with 3D machine vision
How can sealants be applied accurately and consistently to large components with complex geometries? French robotics specialist AKEOPLUS has developed an automated robotic cell that replaces a previously manual process in aerospace manufacturing. Using MVTec HALCON machine vision software, the system determines the actual position and orientation of the components and adjusts the robot’s movements…
Automated wire harness manufacturing: machine vision gives robots the vision they need
Manufacturing complex wire harnesses is one of the most challenging tasks in industrial automation. Flexible cables constantly change position during processing, making them difficult to handle reproducibly. Together with TE Connectivity, Cellios has developed a modular robotic system that automates the entire wire harness assembly process through electrical testing for the first time. The MVTec…
MVTec presents MERLIC 26.10: Enhanced security and easier operation for the machine vision framework
MVTec Software GmbH has announced the release of MERLIC 26.10 for October 15, 2026. MERLIC enables users to create machine vision applications without programming and quickly deploy them in production. With the new version, MVTec is further enhancing the software, particularly in the areas of cybersecurity, system integration, and usability. Read more
How machine vision and AI support humans in complex assembly
At Endress+Hauser, machine vision supports manual assembly without replacing employees. High component variance and low batch sizes make full automation impractical. MVTec MERLIC therefore works “hand in hand” with production staff as integrated machine vision software: it displays assembly information, verifies critical steps, and documents results, process data, as well as image data for production…
MERLIC Demo: Fast, simple, and flexible machine vision
Machine vision applications often require a combination of different technologies – from traditional image processing to deep learning. In this demo, MVTec shows how MERLIC combines multiple vision technologies in one easy-to-use platform.
Deep learning is firmly established in machine vision. It enables high recognition rates and automates applications that were previously difficult or impossible to solve. Yet many companies still fail to use its full potential. This white paper covers training data, effective training strategies, MVTec’s deep learning technologies, the combination of AI-based and rule-based methods, and the use of GPUs…How to maximize the value of deep learning
How machine vision and AI support humans in complex assembly
At Endress+Hauser, machine vision supports manual assembly without replacing employees. High component variance and low batch sizes make full automation impractical. MVTec MERLIC therefore works “hand in hand” with production staff as integrated machine vision software: it displays assembly information, verifies critical steps, and documents results, process data, as well as image data for production…
Deep 3D Matching: Robust 3D localization with 2D cameras
Accurate 3D localization becomes challenging when objects are transparent, reflective, partially occluded, or have complex geometries. In this demo, Coco from MVTec shows how HALCON Deep 3D Matching enables robust 3D pose estimation using only 2D…
Machine Vision for Food & Beverage: 5 MVTec HALCON Applications
Industrial machine vision covers a wide range of applications – from reading text and codes to detecting defects and measuring object positions. In this demo, Alexander Joos from MVTec showcases five different vision tasks powered…
Why image acquisition determines success in machine vision
Machine vision projects often fail long before software becomes a problem. The root cause is frequently much simpler: the image acquisition setup is not designed to make relevant features clearly visible in the first place. Read more [Picture source: MVTec Software on linkedin.com]