Computer vision algorithm repository

We have a vast library of both deep learning and classical computer vision algorithms that can be easily optimized and adapted for your use case. This includes detection and classification, tracking, segmentation, anomaly detection, tracking, image registration, and...

Privacy preserving people monitoring

Contactless identification technologies such as facial recognition have boosted tremendously during the pandemic. But what about people’s privacy? Our computer vision technology detects masks, estimates distances, detects and counts people. Because the data is...

Chronic heart rate failure prediction

This multi-sensory AI system (based on machine learning) analyzes measurement data and compares it with personal threshold values. With this information it can generate an automatic alarm where necessary so that the treatment can be adjusted based on the current state...

ML for oil degradation

The oil degraded working of gearboxes is characterized by different vibrations when compared to nominal behavior. The ML we developed is built to detect the difference between both states very accurately.

Context-aware system

Detecting, localizing and measuring distance of objects, posture, people, vessels, and many more. This technology is LIDAR or RGB-D-based and segments objects out of the point cloud. Special model-based algorithms focus on capturing movement dynamics.

ML for bearing error detection

By classifying samples (data blocks) from a data set with a bearing errors (BEAF), we set up an ML where the probabilities for all classes are plotted. Based on this information we can detected several types of errors and improve maintenance of these structures.