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]
New MVTec Academy course: MVTec MERLIC on Edge
In this course, you will learn how to operate and deploy MVTec MERLIC on Edge on Siemens Industrial Edge Devices. You will understand how MERLIC fits into the Industrial Edge environment and how this setup helps you run machine vision applications directly on the shop floor with a simple and scalable workflow. The course is based on MERLIC 5.8…
Machine Vision on Siemens Industrial Edge: Scalable Quality Inspection with MERLIC
Edge devices enable fast and scalable quality inspections directly on the shop floor. In this demo, Philipp Sommer from MVTec shows how MERLIC runs seamlessly on Siemens Industrial Edge to inspect printed markings on…
Continual Learning for Machine Vision: Adapt AI Models Directly on the Edge
Production conditions change – lighting, process parameters, and new product variants can all challenge existing machine vision systems. In this demo, Agnes Weinhuber from MVTec shows how Continual Learning helps deep learning classification…