Skip to content

Latest commit

 

History

History
86 lines (72 loc) · 2.83 KB

README.md

File metadata and controls

86 lines (72 loc) · 2.83 KB

FaceID-Attendance

This repository contains a Face Recognition Attendance System implemented in Python, leveraging computer vision techniques to identify individuals and track attendance efficiently. The system provides two options for attendance storage: MySQL database and Excel file.

Features

  • Real-time face recognition using a webcam.
  • Attendance logging with two storage options:
    • MySQL database for robust and scalable storage.
    • Excel file for simple and quick setup.
  • Optimized video feed processing for faster detection.
  • Displays bounding boxes and labels for recognized faces.

Requirements

Install the required Python libraries before running the project:

pip install face_recognition opencv-python numpy mysql-connector-python openpyxl

Setup Instructions

MySQL Attendance Storage

  1. Prepare Images:
    • Add images of individuals to the /Images folder.
    • Image filenames should correspond to individual names (e.g., JohnDoe.jpg).
  2. Database Configuration:
    • Set up a MySQL database and table: 
      CREATE DATABASE attendance_db;
USE attendance_db;
CREATE TABLE attendance (
    id INT AUTO_INCREMENT PRIMARY KEY,
    name VARCHAR(255),
    date DATETIME
);
    • Update database credentials in Face_Recognition_Mysql.py.
  3. Run the Script: 
    python Face_Recognition_Mysql.py
  4. View Attendance:
    • Attendance records will be stored in the MySQL table.

Excel Attendance Storage

  1. Prepare Images:
    • Add images of individuals to the /Images folder.
    • Image filenames should correspond to individual names (e.g., JohnDoe.jpg).
  2. Run the Script: 
    python Face_Recognition_Excel.py
  3. View Attendance:
    • Attendance will be logged in Attendance.xlsx.

How It Works

  1. Encodes known faces from the /Images folder.
  2. Detects faces in real-time using a webcam feed.
  3. Matches detected faces with encoded images.
  4. Logs attendance for recognized faces in the specified storage.

Folder Structure

FaceID-Attendance/
    Attendance.csv
    Face_Recognition_Excel.py
    Face_Recognition_Mysql.py
    Images/
        - Image1.jpg
        - Image2.jpg
    README.md

Disclaimer

  • Ensure compliance with privacy laws and obtain consent before collecting face data.
  • Optimize the dataset for better recognition performance.
  • It has accuracy of 90-95 percent.
  • Provide images of good clarity and clear background for better performance.
  • Face_Recognition_Mysql.py stores the data in MySql server with name along date and time where as in Face_Recognition_Excel.py it stores name and current time.
  • Refer Attendance.csv as example of what data will be stored in the excel.

Feel free to fork this repository and customize it to suit your needs.