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VGU RESEARCH REPOSITORY


Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/1866
Title: Implementing the web based automatic face recognition management system
Authors: Hoang Ngoc Anh Khoi 
Keywords: Web application;Face recognition management system;AI detection
Issue Date: 2024
Abstract: 
This thesis focusses on the development and implementation of CAMWA (Class Attendance Management Web Application), a web-based application developed specifically for all of the programs in Vietnamese-German University. Its goal is to improve the process of storing, viewing and managing the information of classes attendance of each student. Basically, the web application will receive class attendance data from the automated face recognition AI using cameras in class. The application provides a very friendly and simple interface for user that allows students to easily view their applications, track their requirement for exam, and receive notifications regarding their attendance status. Additionally, CAMWA also give student a way to requesting for admin to review camera footage in case of the camera AI was unable to detect the student face and automatically mark them as absent. Overall, this thesis explores the development and implementation of CAMWA, highlighting its effectiveness in enhancing efficiency and transparency in managing student attendance status. The findings from this research contribute to a deeper understanding of how technology can revolutionize administrative processes in higher education institutions.
URI(1): https://epub.vgu.edu.vn/handle/dlibvgu/1866
Rights: Attribution-NonCommercial 4.0 International
Appears in Collections:Computer Science (CS)

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