DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Electronics and Computer Science-IJAECS |
 Journal Home Volume Issue |
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Issue |
Volume-9,Issue-9 ( Sep, 2022 ) | |||||||||
Paper Title |
IoT Enabled Intelligent System for Monitoring Workplaces based on Machine Learning and Geofencing Technology | |||||||||
Author Name |
Mahmoud M. Elmesalawy, Noor El Deen M. Mohamed, Alaa Hamdy, Ahmed M. Abd El-Haleem | |||||||||
Affilition |
1,4Electronics and Communications Engineering Department, Faculty of Engineering, Helwan University, Cairo, Egypt 2,3Computer and Systems Engineering Department, Faculty of Engineering, Helwan University, Cairo, Egypt 4Electrical and Communication Engineering Department, Faculty of Engineering, British University in Egypt (BUE), Cairo, Egypt | |||||||||
Pages |
33-40 | |||||||||
Abstract |
Abstract - Monitoring the individual and employees’ movements in workplaces and service areas can help admins watch out for any violations that may occur during work hours and help apply some control measures to control the density of people within limited areas. Also, the employees and individual movement patterns will lead to effectively planning the organization's resources. Several technologies including machine learning (ML) and geofencing are applied to develop efficient monitoring, movement pattern estimation, and movement control solutions in workplaces and service areas. This paper presents an innovative solution based on geofencing and Internet of Things (IoT) technologies to improve individual movement monitoring, pattern estimation, and control in service areas and workplaces. Keywords - Workplaces, IoT, Geofencing, Machine Learning, Signature, Wi-Fi. | |||||||||
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