Face Recognition Project
A machine learning project for detecting and recognizing human faces in images and video streams.
Face Recognition Project
Overview
A machine learning project for detecting and recognizing human faces in images and video streams.
Features
- Real-time face detection
- Face recognition and identification
- Multi-face tracking
- Confidence scoring
Tech Stack
- Python 3.x
- OpenCV
- Face recognition library
- NumPy
Getting Started
Installation
pip install opencv-python face-recognition numpy
Usage
import face_recognition
import cv2
# Load image
image = face_recognition.load_image_file("photo.jpg")
face_encodings = face_recognition.face_encodings(image)
Project Structure
face-recognition/
├── src/
├── models/
├── data/
├── tests/
└── README.md
Results
Document accuracy metrics and performance benchmarks here.
Future Improvements
- GPU acceleration
- Mobile deployment
- Improved privacy handling