Attendance system based on facial recognition using multi-task convolutional neural network
Information Technology Department, Pamantasan ng Lungsod ng Maynila, Manila, Philippines.
Review Article
World Journal of Advanced Research and Reviews, 2023, 18(03), 001–006
Publication history:
Received on 17 April 2023; revised on 27 May 2023; accepted on 30 May 2023
Abstract:
Some businesses today do not keep track of their employees' attendance. Some of them are still using outdated techniques such as log-based manual inspections. These outdated methods of data collection require excessive paperwork, take time due to laborious recording procedures, and result in inaccurate data collection due to human error and inadequate assessment. The goal of this study is to create an attendance system that can make it simple and accurate for businesses to track their employees' attendance. The aim of this project is to create a system that will make it simple and automatic to record attendance using facial recognition. The result shows that the system is operational and possess a accurate and highly benefits the students and the faculty members.
Keywords:
Attendance System; Face Recognition; Multi-Convolutional Neural Network; Machine Learning
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Copyright information:
Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0