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The article opens a series of posts about anomaly detection. This time we explain what anomaly detection is, give you some interesting examples, and describe how to choose machine learning techniques for detecting anomalies according to the case.
We would like to offer you a short series describing drowsiness and distraction measurements, which are most popular in research and DMS applications. Today we will dive into visual-based behavioral metrics.
Robotec took part in ROS World and was one of the sponsors of the event. It is a conference dedicated to Robot Operating System (ROS), a de facto standard in the world of robotics.
Goal of the project is to develop the models and software tools for CPSoS (Cyber-Physical System of Systems), enabling it to behave automatically (without human intervention), be aware of its physical and cyber environment and react to it accordingly.