◆ SMART ATTENDANCE SYSTEM
ENROLLED USERS
480
RECOGNITION ACCURACY
98.6%
AVG. CHECK-IN TIME
0.8s

Project Overview

Built for a mid-sized office client, this system replaces manual sign-in sheets with RFID badge taps and a face-recognition camera at the entrance. Attendance events sync in real time to a central dashboard, with automatic flagging of late arrivals and unrecognized visitors.

Specifications & Circuit Type

Controller

ESP32-CAM + Raspberry Pi 4 for on-site face matching

Recognition Engine

OpenCV + a lightweight FaceNet-based embedding model

RFID Module

RC522 13.56MHz reader, badge-based fallback identification

Circuit Type

Mixed-signal embedded circuit — camera module, RFID reader, and status LEDs on a custom carrier PCB

Connectivity

Wi-Fi to local server, REST API sync to cloud dashboard

Enclosure

Wall-mounted IP54 enclosure for entrance installation

Technologies Used

ESP32-CAM Raspberry Pi OpenCV RFID (RC522) Python REST API PostgreSQL

Key Features

Dual-mode RFID + face recognition
Real-time dashboard sync
Late arrival auto-flagging
Unrecognized visitor alerts
Offline buffering & auto-resync
Exportable attendance reports

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