Recognize it, with FRS

Built to detect, match, and store faces in real time. Powered by intelligent facial encoding and pattern analysis. Developed by Adityasinh

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Overview

This project implements a face recognition system using a webcam. It can recognize registered faces and display their details, while prompting for input when a new face is detected.

Features

• Face Recognition: Detects and identifies faces using webcam.
• Real-time Updates: Displays recognized faces and their details in real-time.
• New Face Detection: Automatically prompts for input when a new face is detected.

Technologies Used

• Python
• OpenCV (for face detection)
• face_recognition (for face recognition)
• SQLite (for face data storage)

Requirements

• Use requirements.txt to download all library
• Windows 10/11 64bit or Linux amd64
• Python 3.11
• Visual Studio Build Tools (FOR WINDOWS ONLY)

Installation

Linux

1. Clone the repository:

   git clone https://github.com/Adityasinh-Sodha/Face-Recognition-System
   cd Face-Recognition-System
   

2. Install required dependencies:

   pip install opencv-python flask
   pip install opencv-python-headless
   sudo apt install libgl1-mesa-glx
   pip install cmake
   pip install face_recognition
   pip install pillow
   
   

3. Run the face recognition script:

   python3 main.py
   

Windows

1. Install Visual Studio Build Tools and download Desktop development with C++ (ONLY FOR WINDOWS 10/11)

2. Install python and confiure pip

3. Open cmd and install required dependencies:

   pip install opencv-python flask
   pip install opencv-python-headless
   pip install cmake
   pip install face_recognition
   pip install pillow
   
   

4. Run the command python main.py

5. Ragister your face and enjoy.

How It Works

• The script starts webcam-based face recognition using OpenCV.
• When a face is detected, it checks the database to see if it's registered.
  • If the face is registered, it displays the details.
  • If the face is new, it prompts for input to store the details.

Contribution

Feel free to fork the repository and make improvements. Contributions are welcome!

License

This project is licensed under the MIT License.

Author

Developed by Adityasinh.