Face Recognition Attendance System

Face Recognition Attendance System

🎯 Project Overview

The Face Recognition Attendance System is a powerful attendance monitoring solution designed for colleges, schools, and industrial organizations to automate and secure attendance using facial recognition technology. Built using OpenCV and Dlib, this system uses real-time camera feeds to identify faces and record attendance.

Download New Real Time Projects :-Click here

Category: Web Application
Developer: UPDATEGADH
Languages Used: Python, HTML, Bootstrap
Framework: Flask
Database: No database integrated (uses file system-based storage)
Libraries/Tools: OpenCV, Dlib, Haar Cascade Classifier

📦 Project Information Table

⚙️ Available Features

✅ Add New User
Upload and register a new user’s face into the system.

✅ Capture Live Images
Capture real-time images using webcam and store them for model training.

✅ User Count Tracking
View the total number of registered users.

✅ Take Attendance
Trigger live face recognition to mark attendance based on detected faces.

✅ Multiple Face Detection
Recognizes and processes multiple faces at once in real-time.

✅ Attendance Recording
Records and saves attendance with timestamp.

✅ Display Attendance
View the current day’s attendance with user details.

💻 Technologies Used

• Frontend: HTML5, Bootstrap
• Backend: Python (Flask Framework)
• Face Detection: OpenCV (Haarcascade)
• Face Recognition: Dlib
• Storage: File-system based (CSV)

📂 Project Structure

├── app.py                      # Main Flask Application
├── Attendance/                 # Attendance CSV records
├── static/                     # Static files (CSS, JS, images)
├── templates/                  # HTML Templates (Bootstrap-based)
├── haarcascade_frontalface.xml# Face detection model
├── requirements.txt            # Python dependencies
└── README.md                   # Documentation

🚀 How It Works

1. Start Flask App via python app.py
2. Navigate to http://127.0.0.1:5000/
3. Register new users by capturing images
4. Click Take Attendance
5. Attendance is stored automatically in the /Attendance folder as .csv files.