Citation

Nasir, Muhammad Akmal and Pang, Wai Leong and Wong, Sew Kin (2022) Design of IoT Health and Social Distancing Monitoring System. Periodic Research Publication, Faculty of Engineering, Multimedia University, Malaysia. (Unpublished)

Text 2_1161103321 Muhammad Akmal_WLPang_FYP2 Poster.pdf Restricted to Repository staff only Download (1MB)

Abstract

Since the outbreak of the COVID 19 pandemic, many companies have to deploy working from home. As the pandemic recovers, companies slowly start to adapt to the situation by making the workers work from the office. This is an effort to reduce the risks of spreading diseases in the workplace. This project aims to support that initiative and introduce a system that can control the risks of infection among workers. The proposed system monitors the health condition of the users and controls the social distancing at the workplace by using IoT technology and machine learning.

Item Type:	Other
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science > QA76.75-76.765 Computer software
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Assoc. Dr Chee Pun Ooi
Date Deposited:	25 Nov 2022 02:49
Last Modified:	25 Nov 2022 02:51
URII:	http://shdl.mmu.edu.my/id/eprint/10634

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