This is a traffic violation management and analytics platform that processes recognition data from multiple AI-powered highway cameras and consolidates the results into structured vehicle, incident, and violation records for review and enforcement workflows.
The system receives asynchronous detection results from multiple camera sources, then correlates related information such as vehicle images, license plates, timestamps, camera locations, and detected violations into unified records.
My main ownership areas included backend data processing and synchronization, aggregation logic for AI-generated detection results, and management interfaces used to review and track processed violation records.
Next.jsNestjsMUIData ProcessingTraffic Management
...
OVERVIEW
Project Context
HIGHLIGHTS
My Work
01
Data Preprocessing and Synchronization
- Processed detection results received asynchronously from multiple AI camera streams.
- Normalized incoming data before passing it into the aggregation workflow.
- Synchronized related detection results based on timing and contextual information.
- Managed vehicle, license plate, and image data used by downstream processing flows.
02
Violation Record Aggregation
- Correlated detections belonging to the same vehicle or traffic event.
- Consolidated data from multiple sources into unified incident and violation records.
PRODUCT