The Fingerprint-Based Attendance System is a biometric attendance solution designed using an ESP32 microcontroller, R307 fingerprint sensor, and a web-based frontend for real-time attendance visualization. This project currently simulates fingerprint matching through a browser interface but is structured for future integration with real hardware and backend systems.
This system replaces traditional manual attendance with a secure, automated, scalable biometric workflow.
- Simulated fingerprint enrollment & matching
- Dynamic student registration via modal form
- Real-time attendance tracking
- Present / Absent statistics displayed instantly
- CSV export feature for attendance records
- Responsive user interface for desktop and mobile
- Ready for hardware integration (ESP32 + R307)
- HTML, CSS, JavaScript frontend
- Simulation of fingerprint matching using randomized IDs
- Local temporary storage of attendance data
- CSV export module
- ESP32 + R307 fingerprint sensor
- MySQL / cloud database
- Secure login/authentication
- Excel/PDF export
- Deployment on Firebase/GitHub Pages
- ESP32 Dev Board
- R307 Fingerprint Sensor
- Breadboard & jumper wires
- 5V power supply / USB
| R307 Pin | ESP32 Pin |
|---|---|
| VCC | 3.3V / 5V |
| GND | GND |
| TX | GPIO 17 |
| RX | GPIO 16 |
| RST (optional) | EN pin |
- Students are added through the web interface.
- Each student receives a unique simulated fingerprint ID.
- When "Scan Finger" is pressed, the system randomly assigns a fingerprint match.
- Attendance is recorded with timestamp.
- Statistics update instantly on the dashboard.
- Attendance can be exported as a CSV file.
The project includes full ESP32 code for:
- Fingerprint enrollment
- Model creation & storage
- Fingerprint matching
- Real-time match feedback over serial
The complete Arduino code is available in the project report.
-
Add student form
-
Fingerprint scan simulation
-
Present/Absent count
-
CSV export
-
Status indicators for:
- System
- ESP32 connection
- Database connection
Name, Roll, Status, Timestamp
Iqra, 2110030, Present, 2025-07-26 10:32 AM
- ESP32 → Backend (future)
- Backend → Frontend
- Database → Export/Analytics
- Optional mobile app
- REST API / MQTT (planned)
- HTTPS secure transport
- Student registration successful
- Fingerprint matching simulated correctly
- Real-time attendance statistics functioning
- CSV export verified
- Fully responsive UI
- Accurate simulation of biometric attendance
- Fast & secure process
- Portable, offline-ready
- Scalable architecture
- Future-ready for IoT hardware
- No backend (data resets on refresh)
- No authentication yet
- Hardware integration pending
- ESP32 + R307 real-time integration
- MySQL/PHP backend
- Admin login system
- Excel/PDF export
- Deployment on cloud platforms
This project demonstrates a complete simulation of a fingerprint attendance system and provides a strong foundation for building a full biometric IoT-based attendance solution. With planned integration of ESP32 hardware, cloud storage, and secure authentication, the system is capable of becoming a reliable, scalable attendance management tool.
- DonskyTech – ESP32 & R307 tutorials
- Adafruit Fingerprint Sensor Library
- ESP32 IoT guides and documentation