# Continuous Infrastructure Monitoring

VIMS instance for continuous-monitoring.

## Related Article
[/insights/continuous-monitoring-vs-periodic-inspection/](https://landvex.com/insights/continuous-monitoring-vs-periodic-inspection/)

## Anomaly Classes
- structural_change
- environmental_degradation
- usage_wear
- weather_damage
- vandalism_new

## Quick Start

1. Add training images to `data/raw/`
2. Annotate using LabelImg (YOLO format)
3. Run preprocessing: `python src/detector.py`
4. Train model: `python src/detector.py --train`
5. Run inference: `python src/detector.py --predict data/test/image.jpg`

## API

Once deployed, access via:
- REST: `POST /api/continuous-monitoring/predict`
- WebSocket: `ws://host/ws/continuous-monitoring/alerts`