Consensus – How To Detect Data Poisoning with Active Learning
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 [...]
How to create a high-quality data set for anomaly detection?
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 [...]
Detection of known anomalies on new objects in quality inspection
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 [...]
SME conference 2023: Focus on innovative strength
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 6th European Machine Vision Forum 2023: A Recap
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 [...]
Navigating Performance Metrics: Example from Crack Detection Assessment
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 [...]
New preML Publication – Tunnel segment detection and inspection with AI
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 [...]