README.md

▷ Screenshots:

▷ Features of Project:

• Real-time face detection
• Loging Security System -(Username&Password)
• Home Page
• i) Student management system (Save, Take Photo Samples, Update, Delete, Clear)
• ii) Train Photo Samples
• iii) Take Attendance with Face Detection
• iv) Attendance Report (Excel file & MySql database)
• v) Developer Page
• vi) Help Desk
• vii) Exit System

▷ Algorithm use:

• Haarcascade Opencv (Object Detection) -https://towardsdatascience.com/face-recognition-how-lbph-works-90ec258c3d6b
• LBPH Opencv (Face Recognition)

• Python GUI - tkinter

▷ Setting up the project

After cloning the project:

Start the server:

  python Face_Recognition_software.py

in terminal

▷ Database

• MySql -https://dev.mysql.com/doc/

▷ Desktop App

• https://drive.google.com/file/d/1ExtmTQwScwp4jEqX7NXDi4VJR4GO0tXh/view?usp=sharing

▷ Author: F.O.G_ntp(nguyenthanhphong)