Face Detection Attendance System
About This Project
An automated attendance system that uses face detection and recognition to mark attendance. Students register their faces once, and the system automatically detects and records attendance when they appear in front of a camera.
Key Features
- Face registration and enrollment
- Real-time face detection via webcam
- Automatic attendance marking
- Attendance history and reports
- Multiple face detection in single frame
- Liveness detection (anti-spoofing)
- Admin dashboard
- Export attendance to CSV/Excel
How It's Built
Set Up Face Recognition
Install dlib and face_recognition library. Learn about face encodings and distance metrics.
Build Face Enrollment
Create a web interface for uploading face images. Generate face encodings and store them in the database.
Implement Real-Time Detection
Use OpenCV to capture webcam frames. Detect faces in real-time and compare with stored encodings.
Build Attendance Logic
Create logic to mark attendance when a known face is detected. Prevent duplicate entries for the same day.
Create the Web Interface
Build a Flask web app with dashboard, attendance reports, and face enrollment pages.
Add Reports and Export
Generate attendance reports by date, student, or course. Export to CSV or Excel format.
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