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. © 2022 IEEE.
ABSTRACT
COVID-19 disease spreads rapidly from person to person through airborne transmission. The preventive measures are very important to prevent and control the rapid spread of COVID-19. The effective protection technique is by wearing a face mask in public space. Therefore, this study proposed a face mask detection through Haar Cascade approaches. Besides, body thermal screening features has also been considered in this study to determine whether an individual is healthy or not by using thermal sensor. The pilot study was run for a week in other to test the capabilities and the durability of the program to run in the community. The results from the pilot study showed that the thermal scanner is able to run standalone in the public for a week. In overall, the thermal Scanner device was successfully developed with a combinations of deep learning technique to detect a person with facemask and able to screen a body temperature just by using low-cost components.