Handling geo located data in real time using Python
summary
System ingests GPS or indoor X/Y positions over TCP/MQTT/ZeroMQ or HTTP sockets at ~0.5–1s granularity, normalizes into one MongoDB document per location and updates a per-device “last location”; demo uses a MongoDB capped collection (example 100 MB) and 2dsphere indexes to stream recent points and run geo queries like geoIntersects, reverse geocoding and proximity checks. Coordinates are stored as GeoJSON and maps are loaded with Fiona + OpenLayers; coordinate transforms and room buffering handle meter-level indoor checks (PyTorch mentioned for transforms).
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chapters (8)
- 0:00Introduction to geolocation data
- 2:03Real-time data handling with AsyncIO
- 3:08Storing data in MongoDB
- 5:16Simple example application demo
- 13:31Live demo of tracking system
- 16:47JavaScript client implementation
- 18:31Next steps and optimizations
- 19:57Q&A and resources
