Unsupervised Anomaly Detection for Humidity Sensor Data
Detecting anomalies in loT sensor devices for humidity is crucial for the maintenance and safety of households and buildings. An Auto-Encoder (AE) can detect anomalies in sensor data. However, the reality is that most sensor data is unlabelled, while it is recommended to use labelled data when training the model for anomaly detection with AE. Therefore together with Sensative AB we developed a Lon