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 [...]
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 [...]
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 [...]