Nagarajan, Premraj (2021) Automatic coffee temperature with voice recognition and smartphone app controller with smart energy measurement system. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)
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Abstract
This world is moving towards the (IoT) which means objects or physical things with internet connection. The (IoT) refers to a system of interrelated or internet-connected objects which has embedded with software, sensors, and other technologies that can make the object function without human intervention by collecting and transferring the data over a wireless network. As the (IoT) has been started to apply to all devices include coffee machines as well. This research has designed a coffee temperature controller machine using IoT function which allowed the consumer to measure the energy using for the coffee machine and absorbs the heat from being waste. Nevertheless, this product also designed using voice recognition and android application which is used to set and detect the coffee machine temperature. The main idea of this project is to design a coffee machine that can measure and monitor the electrical energy used by the machine while can control the temperature by using voice recognition and an android application. This project design by using Arduino UNO as a microcontroller, Peltier as a heating element, NodeMCU ESP8266 Wi-Fi module and a smartphone application named Blynk and Voice Recognition is used with a serial data communication between the ESP8266-01 Wi-Fi module. The outcome of this project is a coffee temperature controller machine that developed using IoT function, and have voice recognition and android application which will be used to adjust the temperature according to the consumer preference and at the same time measure the electrical energy produce by the coffee machine.
Item Type: | Final Year Project (Project Report) |
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Uncontrolled Keywords: | Android, application, Temperature, Machine, Coffee, Controller, Energy, Measure, Module, Consumer |
Divisions: | Library > Final Year Project > FTKEE |
Depositing User: | Mr Eiisaa Ahyead |
Date Deposited: | 30 Dec 2022 01:19 |
Last Modified: | 28 Nov 2024 07:04 |
URI: | http://digitalcollection.utem.edu.my/id/eprint/27622 |
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