🎯 Face Recognition with OpenCV

This is a simple and modular face recognition project using OpenCV and Local Binary Patterns Histogram (LBPH). It allows you to:

• 📸 Collect face data using your webcam
• 🧠 Train an LBPH face recognizer on the collected dataset
• 👁️‍🗨️ Run real-time face recognition on webcam feed

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📁 Project Structure

Face Recognition/
├── Dataset_creation.py    # Capture and save face images
├── Training.py            # Train LBPH face recognizer
├── Recognition.py         # Perform real-time face recognition
├── main.py                # Orchestrates the full 

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## 🔧 Requirements

Install Python packages via pip:

```bash
pip install -r requirements.txt

You mainly need:

• opencv-python

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🚀 How to Use

1. Run the main controller

python main.py

Follow the CLI prompts to:

• Add the number of users
• Enter name & ID
• Capture 40 face images per person
• Train the model
• Start live recognition

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📝 Notes

• Captured images are saved in face_dataset/<name>/
• Trained model is stored in trainer.yml
• You can adjust face recognition sensitivity by tweaking the confidence threshold in Recognition.py

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📦 To-Do / Improvements

• Add GUI for easy usability
• Replace Haar cascades with DNN or Mediapipe
• Auto-save ID-name mapping for future reuse
• Add tests and evaluation metrics
• Deploy as a desktop or web app

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Feel free to fork and contribute!