Jupyter notebook demonstrating usage of multivariate anomaly detection based on machine learning to process monitoring and detection of a suspicious state of a process.
This asset was development for the AI4IoT Pilot, with the goal of providing a tool to access raw data from a network low-cost sensors deployed in Trondheim, Norway.
This asset was development for the AI4IoT Pilot, with the goal of providing a tool to calibrate the measurements of low-cost sensors. The model is pre-trained for the low-cost sensor deployed in Trondheim, Norway.
AI4EU project partner EIT and the German American Business Association (GABA) are organising the first hackathon series on “Health and Safety Monitoring DeepHack” and will deep dive into Edge AI’s exceptional potential towards the development of improved ...