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- W4226347580 abstract "In the Internet of Things field which is paired with Artificial Intelligence projects are centered on the utilization of technologies in connecting the world. This system mainly used the ESP32 IoT development board as its brain. The researchers developed i-Detect project to provide home automation in smart lighting and switching, smoke and fire detection and mitigation systems that will contribute to disaster risk reduction and management. The project uses a water-scrum-fall approach under agile methodology in developing the system since it involves integration between hardware and software. During the tests conducted in three (3) trials, the results were successful because it performed according to the intended function. The voice-activated home automation carried the commands accordingly; the exhaust fans activated when smoke/gas was detected, and water pumps activated when a fire was detected. It was observed that as long as the internet connection is stable the home automation will successfully execute. On the other hand, the smoke/gas and fire detection and mitigation can still be executed without relying on the internet connection. SMS notifications were also responsive as well as the real-time responsive web server. For a better upgrade of this system, the researchers recommend a better Printed Circuit Board (PCB) design that is ready for mass production." @default.
- W4226347580 created "2022-05-05" @default.
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- W4226347580 date "2021-11-28" @default.
- W4226347580 modified "2023-09-28" @default.
- W4226347580 title "i-Detect: An Internet of Things Voice-Activated Home Automation with Smoke and Fire Detection and Mitigation System" @default.
- W4226347580 doi "https://doi.org/10.1109/hnicem54116.2021.9731884" @default.
- W4226347580 hasPublicationYear "2021" @default.
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