Year: 2023
Type: article
Abstract: This project's major goal is to develop a facial recognition-based attendance monitoring system for educational institutions to improve and modernize the current attendance system and make it more effective and efficient than it was previously.It has numerous advantages and can be used for security, identification, and authentication.The goal of this system is to create a face recognition-based class attendance system.The manual attendance system is time-consuming and cumbersome to maintain.This system consists of four phases-database creation, face detection, face recognition, and attendance updation.The database is created by the images of the students in class.Face detection and recognition are performed using the Haar-Cascade classifier and Local Binary Pattern Histogram algorithm respectively.Faces are detected and recognized from live streaming video of the classroom.
Source: IJARCCE
Authors: Prof. Shweta Koparde, Shruti Kanade, Sanyogita Bansode, Harshal Patil, Abhishek Pawar
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4379470586