Face Recognition Based Attendance System

This project is a face recognition-based attendance system developed using OpenCV and Python. It utilizes a camera to capture images of individuals and compares them with images in the database to mark attendance.

Table of Contents

1. Installation
2. Usage
3. Acknowledgements

Installation

1. Clone the Repository

   [email protected]:Aryankanojia9654/face_recognition_attendance_system.git

2. Install the Required Packages

   Navigate to the project directory and install the required Python packages:

   bash

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   pip install -r requirements.txt

3. Download and Setup dlib Models

   Download the dlib models from the following link: dlib Models

   Place the downloaded data folder inside the project repository.

Usage

1. Collect Faces Dataset

   Run the following script to capture images of individuals and create a dataset:

   bash

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   python get_faces_from_camera_tkinter.py

2. Convert Dataset to Python Features

   Convert the collected dataset into features and save them into a CSV file:

   bash

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   python features_extraction_to_csv.py

3. Take Attendance

   Use this script to mark attendance based on the face recognition system:

   bash

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   python attendance_taker.py

4. Check the Database

   View and manage the database with this script:

   bash

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   python app.py

Acknowledgements

This project was developed by:

• Aryan Kanojia (2k22/EC/56)
• Akshay Tiwari (2k22/EC/26)
• Anurag Kumar (2k22/EC/46)
• Anshit Gadi (2k22/EC/46)

Delhi Technological University, ECE Second Year, EIM Project.