Data Engineering and MLOps
Research prototypeSmart City Traffic Management
Problem
Traffic incidents are noticed slowly when camera feeds are monitored manually.
System
A streaming pipeline for traffic-flow analysis and incident detection, with object tracking running at the edge and aggregated metrics processed downstream.
My contribution
Built the real-time data-processing pipeline and the edge inference integration.
System architecture
- Camera streams
- Edge inference
- Stream processing
- Incident alerts
Technical focus
- Edge computing
- Object tracking
- Real-time data processing
Technology stack
- Python
- OpenCV
- Docker
Data source
Dataset and data-collection write-up is being prepared.
Data pipeline
Ingestion and preprocessing write-up is being prepared.
Model or LLM workflow
Model and workflow write-up is being prepared.
Evaluation and results
Evaluation setup and results write-up is being prepared.
Challenges and engineering decisions
Key engineering decisions write-up is being prepared.