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Development of Android-Controlled Ultraviolet Floor Sanitizer Robot
8th IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2022 ; : 247-251, 2022.
Article in English | Scopus | ID: covidwho-2136331
ABSTRACT
Ultraviolet (UV) light radiation is very dangerous as it can irritate human skin and eyes in which long and direct exposure can lead to skin and eyes cancer. However, Ultraviolet C (UVC) light with a wavelength between 207nm-222nm could sanitize in which inactivate the bacteria such as superbug (the pathogen that already built immunity against chemical sanitizer) and contribute to the fight against Covid-19 viruses. Therefore, this development of UV sanitizer is to sanitize surface area effectively with a human alert system in which will activate the buzzer, turn off the UV light and stop moving when human motion is detected. The notification also will be sent to the user whenever a human motion is detected as a 360° sanitization area to inactivate pathogens. The precaution to avoid any accident. The device is equipped with one UVC light which provides, the body has ultrasonic sensors to detect obstacles and provide autonomous movement to the device while the PIR sensor is used to detect human motion and activate the human alert system. As the result, the UVC light effectiveness is determined based on the bacteria growth in the petri dish. After the sanitization process, the bacteria are significantly reduced and killed effectively in low areas such as floors but reduce their efficiency to the high area. Thus, this device is time efficient and able to reduce the cost of sanitization compared to chemical sanitizer. © 2022 IEEE.
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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Experimental Studies Language: English Journal: 8th IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2022 Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Experimental Studies Language: English Journal: 8th IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2022 Year: 2022 Document Type: Article