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face-recognition-project

This project implements a real-time face recognition system using Python. The system captures images, trains a model with the captured faces, and then recognizes and displays names near the recognized faces in a live video feed. It leverages OpenCV for video capture and face detection, and uses a machine learning model for face recognition.

Features

• Image Capture: Captures images from a in-built webcam for training purposes.
• Model Training: Trains a face recognition model using the captured images.
• Real-Time Recognition: Recognizes faces in a live video feed and displays names near the recognized faces.

Installation

1. Clone the repository:

   git clone https://github.com/CyberBoy-Mayank/face-recognition-project.git
   cd face-recognition-project

2. Install the required dependencies:

   pip install -r requirements.txt

Usage

1. Run the main script:

   python main.py

Example Workflow

1. Capture Images: Use the capture_images.py script to capture images from your webcam and label them with names.
2. Train Model: Run the train_model.py script to train the face recognition model using the captured images.
3. Recognize Faces: Use the recognize_faces.py script to start the webcam feed and recognize faces in real-time, displaying names near the recognized faces.

Benefits

• High Accuracy: Utilizes a robust face recognition model for accurate identification.
• Real-Time Processing: Efficient algorithms ensure real-time performance for live applications.
• Easy to Use: Simple commands for capturing images, training the model, and recognizing faces.
• Customizable: Easily extendable to include additional features or integrate with other systems.

Note

• I'm using Python Version: 3.10.2 for this project.

Contributing

Contributions are welcome! Please open an issue or submit a pull request for any improvements or bug fixes.

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