An IoT based Human Motion Detection to aid Power Consumption in Automated Homes

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S U OKPERIGHO

Abstract

With an upsurge of data by global brands to interact/reach prospective clients, the birth of the Internet has today bridged the information gap. Virtualization techniques are today utilized as means to bridge the various lapses in our human processing endeavors. The adoption of tech to perform a variety of functions has since become imperative to ease our daily living as well as seamlessly allow transformations of various kinds to be impacted on our society. Study proposes an IoT-based energy efficent and reduction tool to yield cost effective and cheap solution for managing energy consumption in homes. We have successfully integrated IoTs, wrireless sensor networks, and ESP32 controller to create a comprehensive control system. Its benefits includes improved energy consumption, security, data privacy, system efficiency, and user convenience. The system also provides real time monitor and energy reduction control capabilities.

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