Paper Key : IRJ************456
Author: Aasavari Ganesh Wani,Siddhi Umakant Mulik ,Priya Vikram Taware
Date Published: 15 Apr 2024
Abstract
The significance of the human face lies in its ability to serve as a unique identification for every individual. Face recognition systems make use of facial features. Monitoring attendance in educational institutions is a significant concern. The human face is significant because it may be used to uniquely identify each individual person. Facial traits has been used by face recognition systems. One major concern is keeping track of students attendance in educational institutions. Face recognition is the technique of figuring out whether a person faces in an images matches any faces in a database. This project main objective is to build an intelligent attendance system for students at a school using an ESP32 Cam. The aim is to make the current attendance system more effective and efficient. We accomplish this by utilizing the ESP32 Camera module for face recognization and the OpenCV library for face detection. This system uses facial recognition technology to track attendance by recognizing .