Face Recognition Based Attendance System

Project Overview

The Face Recognition Based Attendance System is a Python-based application that integrates face recognition with a graphical user interface (GUI) to simplify and automate attendance management. This project is user-friendly, secure, and highly functional, making it ideal for educational institutions or corporate environments.

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Project Details

Available Features

• Graphical User Interface (GUI):
  

  • Developed using Python’s tkinter library for intuitive navigation.

• Face Recognition:
  

  • Utilizes OpenCV for real-time face recognition and attendance marking.

• Secure Registration:
  

  • Password-protected feature for registering new students or employees.

• Attendance Record Management:
  

  • Automatically generates and updates CSV files for daily attendance records.

• Real-Time Updates:
  

  • Displays live attendance records in a tabular format with ID, name, date, and time.

• Report Generation:
  

  • Stores detailed logs of attendance for future reference.

Technology Stack

1. tkinter: For GUI development.
2. OpenCV: For face detection and recognition.
3. Pandas, Numpy, CSV: For data handling and storage.
4. Haar Cascade: Used for frontal face detection.

How to Run the Project

1. Prerequisites:
   

   • Ensure Python 3.x is installed on your system.
   • Install the required libraries using the following command: pip install -r requirements.txt

2. Steps to Execute:
   

   • Navigate to the project directory.
   • Run the main.py file using the command: python main.py

3. Face Recognition Configuration:
   

   • The system uses haarcascade_frontalface_default.xml for face detection. Ensure this file is in the project directory.

Download the Project

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