Face Recognition with OpenCV and Face Recognition Library

This project demonstrates real-time face recognition using OpenCV and the face_recognition library. The system detects faces from a live camera feed and identifies them based on pre-encoded images.

Features

• Detects faces from live video feed.
• Recognizes known faces based on pre-encoded images.
• Highlights identified faces with bounding boxes and names.

Prerequisites

Software Requirements

• Python 3.6 or higher
• OpenCV
• face_recognition library
• NumPy

Hardware Requirements

• A working webcam for real-time face detection.

Installation

1. Clone this repository:

   git clone https://github.com/mohammeduvez29/Facial-Recognition-Model.git
   cd Facial-Recognition-Model

2. Install required libraries:

   pip install opencv-python face_recognition numpy

3. Ensure you have a folder named images/ in the root directory of the project. Add images of known faces to this folder. Name the images with the corresponding person's name (e.g., john_doe.jpg).

Usage

1. Run the main script:

   python main_video.py

2. The system will access your webcam, detect faces, and identify known ones.
3. Press ESC to exit the program.

Project Structure

.
├── main_video.py           # Main script for real-time face recognition
├── simple_facerec.py       # Helper class for face encoding and recognition
├── images/                 # Folder containing known face images
└── README.md               # Project documentation

Code Explanation

main_video.py

This script:

• Initializes the webcam.
• Loads known face encodings using the SimpleFacerec class.
• Detects faces in real-time and highlights them with bounding boxes and labels.

simple_facerec.py

This class provides methods to:

• Load and encode images from the images/ directory.
• Detect and identify faces in each frame using the face_recognition library.

Example Output

• Recognized faces will be highlighted with a rectangle and their name displayed below the rectangle.
• Unknown faces will be labeled as "Unknown".

Output Image Example

Here is an example of the face recognition output:

Dependencies

Install the following libraries:

opencv-python
face_recognition
numpy

Troubleshooting

• Error: ModuleNotFoundError: No module named 'face_recognition'
  Ensure you have installed the face_recognition library. On some systems, you may need to install dlib before installing face_recognition:

  pip install dlib
  pip install face_recognition

• Error: Camera not working
  Check your webcam permissions or ensure it is properly connected.

License

This project is open-source and available under the MIT License.

Acknowledgments

• OpenCV for real-time image processing.
• face_recognition library for face detection and recognition.

Contribution

Feel free to fork this repository and submit pull requests to improve the functionality or fix bugs.