Smart City, an Edge-to-Core Data Story

Info

The full source and instructions for this demo are available in this repo

In this demo, we show how to implement this scenario:

• Using a trained ML model, licence plates are recognized at toll location.
• Data (plate number, location, timestamp) is send from toll locations (edge) to the core using Kafka mirroring to handle communication issues and recovery.
• Incoming data is screened real-time to trigger alerts for wanted vehicles (Amber Alert).
• Data is aggregated and stored into object storage.
• A central database contains other information coming from licence registry system: car model, color,…​
• Data analysis leveraging Presto and Superset is done against stored data.

This demo is showcased in this video.