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Smart Voice User Interface Office Monitoring System via Internet of Things
15th IEEE Malaysia International Conference on Communications, MICC 2021 ; : 1-6, 2021.
Article in English | Scopus | ID: covidwho-1685118
ABSTRACT
This project presents the Smart Voice User Interface (VUI) Office Monitoring System that interacts with the Internet of Things (IoT) to complete task based on user's commands. In order to reduce the spread of Covid-19, touchless switches are vital to be used in practice. The Raspberry Pi is used as a microcontroller in this VUI system with Phyton programming language. The electrical components used, such as LED lights and air conditioners, are connected through the General-Purpose Input Output (GPIO) of Raspberry Pi and relay module. The air conditioner is represented with a fan using a motor while lights using LED lights. The outputs can be controlled by giving commands to the Google Assistant or using the Blynk application that relates to the virtual assistant. The interface of the Blynk application shows buttons as an indicator for turning the lights and air conditioner ON or OFF. An application called If This Then That (IFTTT) is used to trigger the GPIO pins based on the instruction commands made in the Blynk application and Google Assistant. A pair of microphones and speakers are also connected with the Raspberry Pi as input and output voice commands. The outcome of the propose technique is a system which controls the devices using voice recognition and artificial intelligence that result in reducing the spread of covid-19 in an office environment. This will be beneficial for office staff for daily scheduled use and personal usage. As a conclusion, this system is efficient and suitable to be used during this pandemic because it eliminates the need to touch various surfaces in office environment. © 2021 IEEE
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 15th IEEE Malaysia International Conference on Communications, MICC 2021 Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 15th IEEE Malaysia International Conference on Communications, MICC 2021 Year: 2021 Document Type: Article