Use Case: Waste Conveyor Belt System

Anomalyse, funded by GM Business Growth Hub, deployed our anomaly detection platform at AMRC Cymru to monitor the Ken Mills Waste Conveyor unit on their test floor. Using a 4G gateway and sensors provided by our partners at Go Monitor, Anomalyse extracted data from the motors of the conveyor including temperature, vibration and current and used these to create a machine learning model with a complete view of the asset.

Full details can be found on the Use Case Page, see also LinkedIn.