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title: Face Recognition API
emoji: 👁️
colorFrom: purple
colorTo: blue
sdk: docker
pinned: false
license: mit
---
# Face Recognition API with FastAPI
A real-time face detection and recognition API with WebSocket support for streaming video frames.
## Features
- 🎯 **Face Detection**: MTCNN or YOLO face detection
- 🔍 **Face Recognition**: FaceNet embeddings with ChromaDB vector storage
- 📡 **WebSocket Streaming**: Real-time face detection over WebSockets
- 🖼️ **REST API**: Embed, update, delete, and recognize faces
- 🎨 **Data Augmentation**: Automatic face augmentation for better recognition
- 📊 **Live Demo UI**: Built-in HTML interface for testing
## Quick Start
1. Access the API at the public URL provided by Hugging Face Spaces
2. Use the built-in UI at `/AutoProctor/v1/` for live testing
3. Check API docs at `/docs` for Swagger documentation
## API Endpoints
### Base Endpoints
- `GET /AutoProctor/v1/` - Web interface for testing
- `GET /AutoProctor/v1/health` - Health check
- `GET /AutoProctor/v1/config` - Get current configuration
- `GET /AutoProctor/v1/count` - Count stored embeddings
### Face Management
- `POST /AutoProctor/v1/data/embed/{user_id}` - Add face embeddings
- `POST /AutoProctor/v1/data/update/{user_id}` - Update face embeddings
- `POST /AutoProctor/v1/data/delete/{user_id}` - Delete user embeddings
### Recognition
- `POST /AutoProctor/v1/data/detect/frame` - Detect faces in single frame
- `POST /AutoProctor/v1/data/recognize/frame` - Recognize face in frame
- `WebSocket /AutoProctor/v1/data/detect/stream` - Real-time streaming
## Example Usage
### Add Face Embedding
```bash
curl -X POST "https://your-space.hf.space/AutoProctor/v1/data/embed/user123" \
-F "file=@face.jpg" |