Face Identification Tool

The Face Identification Tool is a Python-based application that uses computer vision and machine learning to perform real-time face recognition and identification. This tool is designed for applications such as attendance tracking, access control, and user identification.

Features

• Real-time face detection and recognition using OpenCV and face_recognition libraries.
• Integration with a MySQL database to retrieve and display student information.
• Text-to-speech functionality for reading out identified student information.
• Support for different modes of operation with corresponding mode images.
• User-friendly interface for displaying student details and images.

Prerequisites

• Python 3.x +
• Required Python libraries: OpenCV, face_recognition, mysql-connector-python, pyttsx3, cvzone (Note: You may need to install additional libraries as well, depending on your setup.)

Getting Started

1. Update

   sudo apt-get update

2. Install updated Python

   sudo apt install python -y

3. Clone this repository to your local machine:

   git clone https://github.com/pankajmourya007/Face_identification.git

4. Next

   cd Face_identification

5. Install Required Python libraries and modules

   pip install -r requirements.txt

6. Install dlib module (For linux distro).

   pip install dlib

7. You can install dlib manually (Windows user)

   Source Distribution

8. Now Run the main file

   python3 main.py

Authors

• @Pankaj Mourya

Demo

ScreenShot

Documentation

Documentation

Acknowledgements

• OpenCV
• face_recognition
• mysql-connector-python
• pyttsx3
• cvzone
• dlib

Features

• Live Working
• Fullscreen mode
• Cross platform
• You can install in any linux or windows system also

Contact

For questions or inquiries, please contact Pankaj Mourya.

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