Advances in the field of artificial intelligence (AI) are also opening up new opportunities for automation in visual quality inspection. However, a large amount of data is required to train [...]
Active Learning is primarily about reducing the amount of data required to train an AI model. To do this, an AI model is used to specifically select the data [...]
A major advantage of anomaly detection models is that they are trained exclusively with images that represent the ideal appearance of an object. This means that only images of [...]
In mid-June, we presented our latest paper on anomaly detection in a workshop at this year's CVPR conference. Anomaly detection is an AI-based image processing technique to quickly visualize [...]
Over 130 companies presented their progress in projects funded by the Federal Ministry of Education and Research (BMBF) in Berlin. I presented our research project "KI4PRECAST" at the poster [...]
The European Machine Vision Forum (EMVF) is a remarkable platform for machine vision enthusiasts in Europe, bridging the gap between researchers and industry experts. This year, over 100 participants [...]
When I sell our visual quality inspection systems, I am often asked at a very early stage of the project how accurate the defect detection is. Typically, we need [...]
One of our most interesting projects is the AI-based quality assurance of tunnel segments. Together with our customer VMT GmbH we were able to publish a paper of this [...]
