Design of Arduino based home automation systems incorporating identity detection

Abstract

Home automation system is becoming popular day by day all-over the world because of making life smoother and minimizing the work load. Considering the system’s contribution toward making daily life easier and strengthening home safety and security, the necessity of development and modernization of the system is apparent. Home automation refers to the automatic and electronic control of household appliances, features and activities. The most important device of present age is mobile phone. At present Android mobile is very common and very important part of our life. Using this device in controlling and surveillance work makes our life easy and comfortable. So, this project is done in such a way we can have the control of our home through a single device. The system is composed of hardware, communication and electronic interfaces that work to integrate electrical devices with one another. The project will come in handy for the disabled and elderly people. This thesis is aimed to modernize and develop a voice controlled home automation system which allows to control all electronic devices in an apartment by voice command, provides safety by detecting fire, detects suspicious movement and also helps the owner with personal assistance. Moreover, it provides security by automatic door controlled by fingerprint sensor. Performing all these tasks with a single Android device makes everything faster because the Android makes SMS communication. It allows a person to control appliances from a remote location over the internet. The user can easily verify and close machines left on in one’s absence which will help to save energy. In this project we have combined home assistance and security system with the help of a microcontroller. So this project serves as a basic structure of the AI (Artificial Intelligence) system. The programming is done in windows operating system. Sensors and serial communicating devices are incorporated and synchronized with the personal computer.

Description

Cataloged from PDF version of thesis.
Includes bibliographical references (page 52-54).
This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2017.

Keywords

Home automation, Arduino, Identity detection

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