Udemy – Complete Face Recognition Attendance Software| Python OpenCV 2023-1 – Download

1. Python
2. pyqt5
3. Pyqt5 Tools
4. OpenCV
5. in front of the code
6. DB Browser

Then you will learn how to create beautiful interface for the following process

1. Login Process
2. learning process
3. Process for recording the presence and absence of facial recognition
4. Reporting Process

In the process of creating the interface, you will learn how to create controls for our needs

1. QLabel
2. QTabWidget
3. QPush Button
4. QLineEditing
5. QTableWidget
6. QDateEdit
7. QFrame

You will learn the main process when designing a form

1. How to present images
2. How to fit images with QLabel
3. How to get the password using the Python GUI window
4. How to style all controls
5. How to give a floating effect to controls in Qt Designer.

Connect Qt Designer UI file to Python

1. You will then learn how to interface Python code with the pyqt5 GUI using Qt Designer.

Create and connect to SQLite

1. You will then learn how to create a database and sqlite3 tables using Python code and how to check the database with a db browser.

These are the following modules that we will be developing in this project.

1. Login Module: In this module, the administrator enters the login password. The Python code checks whether the entered password is correct or not. If it is correct, it will open the next form. We will use Python if condition and user defined function to check the input.

2. Training Module: In this module, the administrator uses haarcascade_frontalface_default.xml file to recognize the human face shown on the webcam. The camera is modeled using OpenCv. The captured image in gray scale and the waterfall classifier algorithm recognizes every face in the captured image. If the face is available, it will automatically create a directory and save the faces in 1.png, 2.png….etc. upto the number given for the tutorial. If the face is not detected, the system will not save the image file.

3. Attendance Module: Member shows his face on webcam. Now system will create a LBPHFaceRecognizer model using cv2 library and this model will be trained using existing dataset, we have already created image and label sets. Then this model predicts with web cam page and if person is present then records his presence and absence in trained database. Attendance is recorded only when person shows his face for the first time on current date. If person shows his face more than once, system will not record attendance. When a new person shows his face, it will show unknown person’s message.

4. Report Module: In report module, system shows attendance records for whole day. Admin can select specific date from date selection control, system will show attendance on selected date.

By completing this course, you will learn how to create a complete Python GUI project using the OpenCV library face recognition and using the LBPHFaceRecognizer model. You will also learn how to create a database, tables and insert records from the user interface. You will learn how to generate reports from the database and how to connect the GUI and Python code.

installation Guide

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