Project

Electronics & Machine Learning

Face Recognition with Mask Detection Attendance System

Contactless Raspberry Pi attendance terminal that recognizes faces, verifies mask compliance in real time, and logs reports to Firebase.

Electronics & Machine Learning
Machine LearningOpenCVPythonRaspberry PiIoTFirebaseJavaScriptBootstrap

Project Overview

An automated check-in terminal built for schools and offices that performs real-time facial recognition and mask-wearing verification simultaneously on a Raspberry Pi.

Logs timestamped attendance records to Firebase and provides a web interface for attendance tracking and exportable compliance reports.

Key Highlights

  • Dual real-time face identification and mask detection using OpenCV and Python.
  • Automated cloud attendance logging and reporting dashboard.
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