Anomaly detection for industrial machineries

A Raspberry Pi based edge-device collects the sensor data

A serverless function on the device moves the data to a Google Cloud Storage

Data from Google Cloud Storage is preprocessed in Databricks

Databricks streams the data to a custom-trained ML model for crack detection and forecasting

Multiple ML models are deployed for detection and forecasting accuracy