Face Recognition Attendance System with Python Django

A simple project based on Face Recognition Attendance System which is developed using Python, Django, and OpenCV. This project is designed to provide a modern way of managing student or employee attendance through facial recognition. By capturing and recognizing faces in real-time, the system automatically marks attendance without the need for manual entry.

The application is straightforward, practical, and directly connected to real-world scenarios where accuracy and time management are important. It is an excellent project for students who want to explore the integration of machine learning with web applications while solving a real problem in educational and organizational setups.

 Tech Stack Overview

 Core Features

• Student face registration via webcam
• Face recognition with real-time webcam feed
• Attendance stored daily in CSV files
• Trainable model (LBPH Face Recognizer)
• No need for admin panel or database

Key Functionalities

1. register_student(request)

Allows students to register their ID and Name, and capture 20 face images using a webcam.

Highlights:

• Faces detected using Haar Cascade
• Manual image capture ('c' key)
• Saves data to StudentDetails.csv

2. train_model(request)

Trains the model using the LBPH (Local Binary Pattern Histogram) algorithm from OpenCV.

Highlights:

• Reads all images from TrainingImage/
• Converts to grayscale using Pillow
• Detects faces and associates with ID
• Saves model as trained_model.yml

3. take_attendance(request)

Real-time face recognition and attendance marking.

Highlights:

• Loads trained model and student data
• Detects faces, predicts ID, fetches Name
• Avoids duplicate entries per session
• Saves daily CSV in Attendance/

CSV Format:

pgsqlCopy codeID, Name, Date, Time

4. view_attendance(request)

Displays attendance for the current date on a simple HTML page.

Highlights:

• Reads CSV for todays date
• Renders a table in attendance.html
• Shows empty state if no attendance file exists

 File Structure Snapshot

pgsqlCopy codemedia/
 TrainingImage/
 Attendance/
    Attendance_YYYY-MM-DD.csv
 StudentDetails.csv
recognition/
 views.py
 trained_model.yml
 haarcascade_frontalface_default.xml
templates/
 index.html
 register.html
 attendance.html

Usage Flow

1. Navigate to /register/ and register student face
2. Go to /train/ and train the face recognition model
3. Use /take_attendance/ to mark attendance
4. Check /view_attendance/ to see todays attendance

Thoughts

This lightweight system is great for small-scale projects and educational purposes only. You can extend it by:

• Adding email notifications after attendance
• Integrating student login system
• Visualizing attendance stats