# Construction Site Monitoring

VIMS instance for construction-site.

## Related Article
[/insights/the-future-of-infrastructure-monitoring/](https://landvex.com/insights/the-future-of-infrastructure-monitoring/)

## Anomaly Classes
- safety_violation
- equipment_idle
- material_waste
- progress_delay
- unauthorized_access

## 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/construction-site/predict`
- WebSocket: `ws://host/ws/construction-site/alerts`