An IoT based Smart Robot that Aids in the Prevention of COVID19 Spread
4th International Conference on Sustainable Technologies for Industry 4.0, STI 2022
; 2022.
Article
in English
| Scopus | ID: covidwho-2321437
ABSTRACT
The Internet of Things revolution is transforming current healthcare practices by combining technological, economic, and social aspects. Since December 2019, the global spread of COVID19 has influenced the global economy. The COVID19 epidemic has forced governments all around the world to implement lockdowns to prevent viral infections. Wearing a face mask in a public location, according to survey results, greatly minimizes the risk of infection. The suggested robotics design includes an IoT solution for facemask detection, body temperature detection, an automatic dispenser for hand sanitizing, and a social distance monitoring system that can be used in any public space as a single IoT solution. Our goal was to use IoT-enabled technology to help prevent the spread of COVID19, with encouraging results and a future Smart Robot that Aids in COVID19 Prevention. Arduino NANO, MCU unit, ultrasonic sensor, IR sensor, temperature sensor, and buzzer are all part of our suggested implementation system. Our system's processing components, the Arduino UNO and MCU modules are all employed to process and output data. Countries with large populations, such as India and Bangladesh, as well as any other developing country, will benefit from using our cost-effective, trustworthy, and portable smart robots to effectively reduce COVID-19 viral transmission. © 2022 IEEE.
Arduino; COVID19; facemask detection; hand sanitization system; internet of things; MCU unit; robotics; sensors; social distancing detection; temperature detection; Developing countries; Microcontrollers; Social aspects; Temperature sensors; Ultrasonic applications; 'current; Sanitization; Smart robots; Cost effectiveness
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Observational study
/
Prognostic study
Language:
English
Journal:
4th International Conference on Sustainable Technologies for Industry 4.0, STI 2022
Year:
2022
Document Type:
Article
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