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CovidSense: A Heterogeneous Robot System for Indoor Area for COVID-19 Mitigation using Deep Learning Techniques

Muhamad Sharifuddin Abd Rahim, Khairul Shazwan Mamat, Muhamad Mirza Mustafa, Fitri Yakub, Mohd Zamzuri Ab Rashid, Ahmad Redzuan Mohd Hanapiah

Year
2022
Citations
2

Abstract

The countermeasure for preventing COVID-19 should be further studied in order to make sure countries are prepared for the endemic phase. The biggest challenge of COVID-19 is its high infection rate and infection mortality rate. Robots offer a very good solution to this, hence, we developed a robot that can autonomously navigate a closed indoor room, sanitize it, and monitor social proximity practices. The quality of the hardware design, electronic system and software developments are conducted and experimental works to test the performance of the robot are performed.

Keywords

RobotCountermeasureCoronavirus disease 2019 (COVID-19)Computer scienceSoftwareInfection rateEmbedded systemReal-time computingSimulationArtificial intelligence

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