AI-Based Student Attendance System Using Face Recognition
Abstract
A system that uses deep learning-based facial recognition to automate student attendance marking in classrooms, with real-time database sync and SMS/email alerts to parents for absentees.
Price
₹12,999
Problem
Traditional manual attendance marking is time-consuming, prone to errors, and does not provide real-time notifications to parents. Existing RFID-based systems require physical cards and cannot prevent proxy attendance.
Solution
The proposed system uses a camera module connected to a Raspberry Pi/embedded system that captures student faces, processes them through a CNN-based face recognition model (MTCNN + FaceNet), matches against a pre-registered database, and automatically marks attendance. The system syncs with a cloud database in real-time and sends automated SMS/email alerts to parents when a student is absent.
Patent Claims
A system for automated attendance marking comprising: a camera module, a processing unit running a CNN-based face recognition model, a cloud database, and a notification module.
The system of claim 1, wherein the face recognition model uses MTCNN for face detection and FaceNet for feature extraction.
The system of claim 1, wherein attendance data is synchronized to a cloud database in real-time via WiFi/4G module.
The system of claim 1, wherein automated SMS and email alerts are sent to registered parents/guardians upon detection of absence.
The system of claim 1, wherein the system generates daily, weekly, and monthly attendance reports in PDF/Excel format.