Name: Face Recognition Attendance System in Django
Brand: UpdateGadh
SKU: UG-110
Price: 1599.00 INR
Availability: InStock

Face Recognition Attendance System in Django

Face Recognition Attendance System in Django is a Python-based attendance and secure entry application designed to automate attendance verification using facial recognition. The project uses Django as the backend framework and OpenCV for face recognition processing.

The system is designed around a smart attendance workflow where a student opens the attendance page, provides browser location permission, captures their face through a webcam, and submits the information to the Django backend. The system matches the captured face with stored face encodings and validates the student's location before recording attendance.

Key Features

Student face registration
Webcam-based face recognition
Automatic attendance marking
Geo-location validation
Campus-radius validation
Entry and exit time tracking
Late entry detection
Early exit tracking
Student management
Daily attendance logs
Date-based attendance filtering
Student-based attendance filtering
CSV and Excel report generation
Admin dashboard analytics
Student-wise attendance summaries
Monthly attendance percentage
Time-based attendance insights

How the System Works

The student opens the attendance page.
The browser requests location permission.
The webcam captures the student's face.
The Django backend receives the image.
OpenCV generates and matches face encodings.
The system checks the student's geographical distance from the campus.
The attendance record is saved with date, time, and entry or exit status.

Technology Stack

Technology	Purpose
Python	Application development
Django	Backend web framework
OpenCV	Face recognition and computer vision
MySQL	Database
HTML	Web page structure
CSS	Interface styling
Bootstrap	Responsive interface
JavaScript	Client-side functionality and browser interaction
Haversine Formula	Geo-location distance calculation

Software Requirements

Python
Django
OpenCV
MySQL
Webcam
Visual Studio Code or another Python-compatible IDE
Modern web browser

Watch Project Demo

Watch the complete project demonstration to understand the face registration, webcam-based attendance, face recognition, location validation, dashboard, and attendance reporting workflow.

Watch Face Recognition Attendance System in Django Demo

More Details and Full Documentation

For complete project information, implementation details, features, and documentation, visit the original UpdateGadh project page.

View Complete Face Recognition Attendance System Documentation

Project Modules

1. Student Face Registration Module
2. Face Recognition Module
3. Webcam Attendance Module
4. Geo-location Validation Module
5. Campus Radius Validation Module
6. Entry Tracking Module
7. Exit Tracking Module
8. Late Entry Detection Module
9. Early Exit Tracking Module
10. Student Management Module
11. Attendance Log Module
12. Attendance Filtering Module
13. CSV and Excel Report Module
14. Admin Dashboard Module
15. Attendance Analytics Module
16. Student Attendance Summary Module
17. Monthly Attendance Module
18. Time-Based Attendance Insights Module

Installation Guide

1. Install Python on your computer.
2. Install MySQL and create a database for the project.
3. Install Visual Studio Code or another Python-compatible IDE.
4. Extract the Face Recognition Attendance System project.
5. Open the project folder in Visual Studio Code.
6. Create a Python virtual environment.
7. Activate the virtual environment.
8. Install the required Django, OpenCV, and face recognition dependencies.
9. Configure the MySQL database connection in the Django settings.
10. Apply the Django database migrations.
11. Create the required student and administrator records.
12. Configure the campus location and permitted geo-radius.
13. Connect a webcam to the computer.
14. Start the Django development server.
15. Open the application in your web browser.
16. Register the student&#039;s face through the face registration functionality.
17. Allow browser location permission when marking attendance.
18. Use the webcam to capture the student&#039;s face.
19. The system verifies the face and checks the campus location.
20. Review the attendance record and dashboard reports.
21. Export attendance information in CSV or Excel format when required.

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Demo Video

Face Recognition Attendance System in Django

What You Will Get