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1.
Soft Computing for Security Applications, Icscs 2022 ; 1428:535-543, 2023.
Article in English | Web of Science | ID: covidwho-2310697

ABSTRACT

Recently, the world is struggling with the coronavirus. It affects our daily routine life and global economy. It is considered a huge challenge to avoid the dissemination of the virus among people. Even though many countries are employed certain relaxation with restrictions, the outspread is not over yet. Thereby following the social distance is the only solution to avoid COVID-19. To assist with this, smart devices are the best choice to prevent coronavirus spread. The smart devices acting as a primary role in the new-fangled normal world will function from now onwards. This paper proposes a resolution for circumventing suspicious persons with corona symptoms based on an IoT system. In this work, my devices Cayenne open-source framework have been employed for the IoT-cloud module. This framework provides efficient interconnection between smart devices, preparing them with intelligence that benefits mechanizing the door system. The IoT platform Cayenne is constructed on ESP8266 chips, Raspberry Pi boards, Arduino boards, and smart sensors. It is in the form of a mobile application that consents operators to regulate a sequence of utilizations and sensors.

2.
Soft Computing for Security Applications, Icscs 2022 ; 1428:535-543, 2023.
Article in English | Web of Science | ID: covidwho-2085312

ABSTRACT

Recently, the world is struggling with the coronavirus. It affects our daily routine life and global economy. It is considered a huge challenge to avoid the dissemination of the virus among people. Even though many countries are employed certain relaxation with restrictions, the outspread is not over yet. Thereby following the social distance is the only solution to avoid COVID-19. To assist with this, smart devices are the best choice to prevent coronavirus spread. The smart devices acting as a primary role in the new-fangled normal world will function from now onwards. This paper proposes a resolution for circumventing suspicious persons with corona symptoms based on an IoT system. In this work, my devices Cayenne open-source framework have been employed for the IoT-cloud module. This framework provides efficient interconnection between smart devices, preparing them with intelligence that benefits mechanizing the door system. The IoT platform Cayenne is constructed on ESP8266 chips, Raspberry Pi boards, Arduino boards, and smart sensors. It is in the form of a mobile application that consents operators to regulate a sequence of utilizations and sensors.

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