Real-time Detection
Uses a webcam feed to detect faces live and process attendance without manual entry.
Python • OpenCV • Real-time Attendance
Face Recognition Attendance System
A real-time face recognition attendance system that detects faces through a webcam, identifies registered users, and records attendance in CSV format.
Riddhi Patel
Present • CSV saved
Features
Built for quick, reliable attendance tracking
Face Recognition
Matches detected faces against known images using the face_recognition library.
CSV Attendance
Stores attendance records in a simple CSV file for easy review, sharing, and analysis.
Simple Workflow
Designed as a practical project with a clear dataset, recognition flow, and output file.
How It Works
From webcam frame to attendance record
1
Load Known Faces
The system reads stored images, extracts face encodings, and prepares them for matching.
2
Capture Webcam Feed
OpenCV accesses the camera and processes each frame to locate faces in real time.
3
Compare and Identify
Detected face encodings are compared with known encodings to identify the person.
4
Mark Attendance
Once recognized, the person is marked present and the record is saved in CSV format.
Screenshots
Project demo preview
Webcam Recognition
Real-Time Face Detection
The system detects a face through the webcam, matches it with stored student images, and displays the recognized name in real time.
Attendance Record
Attendance CSV Logging
Recognized students are automatically logged into a CSV file with their name, date, time, and attendance status.
Technologies Used
Compact stack, practical results
Python
OpenCV
face_recognition
NumPy
CSV
HTML
CSS
JavaScript
Future Improvements
Ideas to make the system production-ready
Admin Dashboard
Add a web interface to view, filter, and export attendance records.
Database Storage
Move from CSV files to a database for stronger search and reporting.
Authentication
Protect attendance data with login roles for admins and users.
Analytics Reports
Generate summaries for attendance percentage, dates, and student history.