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1.
2nd International Conference on Sustainable Computing and Data Communication Systems, ICSCDS 2023 ; : 1613-1617, 2023.
Article in English | Scopus | ID: covidwho-2321935

ABSTRACT

A smart home is a component of the Internet of Things (IoT) technology implementations that help people with their daily activities. To link devices to the Internet of Things, a variety of communication methods can be used. Impairments restrict the activities that disabled people can participate in. This paper proposes an automation system that enables disabled people to control televisions (TVs), lights, and fans, any other electrical devices at home, using just voice commands without moving. The Google Assistant feature for mobile phones is used to achieve voice recognition on electronic components. This system also contains the concept of human temperature measurement where the temperature sensor, fixed to the door, checks the temperature of the person and opens when it is normal. This prevents the user from getting infected by the illness, keeping in mind the present situation of covid19. © 2023 IEEE.

2.
7th International Conference on Information Technology Systems and Innovation, ICITSI 2022 ; : 346-352, 2022.
Article in English | Scopus | ID: covidwho-2191890

ABSTRACT

COVID-19 pandemic has made an enormous change in various aspects of society. One of it, is limitation to number of people in public place and physical contact called social distancing. Supermarket is one of the places affected by social distancing to minimize the spread of the virus. Trolley is one of the tools that mainly available to ease shopping process in supermarket but also the one that mainly get direct physical contact during shopping process. Therefore, as the world adapts with this condition, it is needed to develop a smart trolley that can help minimizing the spread of COVID-19 by reducing direct physical contact without abandoning customer satisfaction while shopping in supermarket. This smart trolley will automatically follow a specific customer using position localization method based on QR code mapping. The localization was implemented using computer vision while customer-following movement command distribution was implemented using IoT. By using unique and specific QR code, it will prevent wrong customer detection and wrong position mapping thus making this a reliable tracking mechanism and a reliable autonomous customer following system. © 2022 IEEE.

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