Abstract
COVID-19 has been discovered since 2019. It began in China and expanded over the world; its influence on countries was so severe that it affected the economics, politics, and others, as well as the lives of individuals in all facets of life. This illness is spreading so quickly that seven people out of every ten have it. To decrease losses in all aspects for the entire world, a device was designed to be inserted in ATMs via the Internet of Things, with the recommended approach detecting and preventing COVID-19 spread around ATMs. Picture processing algorithms are used to capture the person's image at the ATM, whether he is wearing a mask or not. If the individual is not wearing a mask, the system will enter a state of freeze and they will be unable to access it. It makes use of the Raspberry Pi and the Raspberry Pi Camera Module. Biometric sensors can scan the thickness of a person's finger, which is typically 4-6 mils thick. When inputting the pin code or using the ATM, the individual should wear gloves, keeping a social distance of about 2 meters (6 feet) with ATMs that use an ultrasonic sensor.
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