Author:
Wati Mohamad Yusof Yuslinda,Asyraf Mohd Nasir Muhammad,Azura Othman Kama,Izwan Suliman Saiful,Shahbudin Shahrani,Mohamad Roslina
Abstract
This project focuses on face recognition implementation in creating fully automated attendance system with a cloud. Cloud services will provide a useful information regarding the attendance such as attendance summary performance and visualizing the data into graph and chart. In this study, we aim to create an online student attendance database, interfaced with a face recognition system based on raspberry pi 3 model B. A graphical user interface (GUI) will provide ease of use for data analysis on the attendance system. This work used open computer vision library and python for face recognition system combined with SFTP to establish connection to an internet server which runs on PHP and Node.js. The results showed that by interfacing a face recognition system with a server, a real-time attendance system can be built and be monitored remotely.
Publisher
Science Publishing Corporation
Subject
Hardware and Architecture,General Engineering,General Chemical Engineering,Environmental Engineering,Computer Science (miscellaneous),Biotechnology
Cited by
13 articles.
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1. Attendance Management with Facial Recognition using OpenCV;2024 5th International Conference for Emerging Technology (INCET);2024-05-24
2. The Design and Implementation of AI Based Smart Notice Board Using Advanced Machine Learning and Image Processing Techniques;2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE);2024-04-25
3. Biometric Facial Driven Digital Attendance System using Machine Learning Approach Based on Haar Cascade Technique;2024 1st International Conference on Cognitive, Green and Ubiquitous Computing (IC-CGU);2024-03-01
4. Facial Matching and Reconstruction Techniques in Identification of Missing Person Using Deep Learning;2023 IEEE 4th Annual Flagship India Council International Subsections Conference (INDISCON);2023-08-05
5. Speech-enabled machine learning-based automated attendance monitoring system through face recognition;2023 IEEE International Conference on Contemporary Computing and Communications (InC4);2023-04-21