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 [...]
News – preML one of the Top 20 Vision Tech Startups in 2024
We are nominated as one of the Top 20 Vision Tech Startups 2024! Now its your choice to select the winner! Just write a E-Mail with "𝐩𝐫𝐞𝐌𝐋 𝐆𝐦𝐛𝐇" to [...]
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 [...]
AI-supported completeness check for packaging assembly
Incomplete assembly sets at the customer's premises are annoying and expensive. A system based on modern AI algorithms recognizes incomplete sets in real time. This ensures that no parts [...]
Optimizing Construction Logistics with Real-Time AI Solutions: Vehicle Detection, Load Estimation, and Drive Direction
Logistics always strives to deliver operational excellence and customer satisfaction. In the context of construction sites, logistics refers to the efficient coordination and management of various resources, materials, equipment, and [...]