This paper is published in Volume-10, Issue-1, 2024
Area
Electronics Engineering
Author
Anisha Anand, Shalu, Riya Bharti, Aditya Mishra, Aditya Kumar, Dr. Vatsala Sharma
Org/Univ
Government Engineering College, Buxar, Bihar, India
Pub. Date
03 February, 2024
Paper ID
V10I1-1184
Publisher
Keywords
Blynk Application, MQ-2 Gas sensor, PIR Sensor, Arduino, IoT.

Citationsacebook

IEEE
Anisha Anand, Shalu, Riya Bharti, Aditya Mishra, Aditya Kumar, Dr. Vatsala Sharma. IOT Based Home Security Smart System Using Arduino, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Anisha Anand, Shalu, Riya Bharti, Aditya Mishra, Aditya Kumar, Dr. Vatsala Sharma (2024). IOT Based Home Security Smart System Using Arduino. International Journal of Advance Research, Ideas and Innovations in Technology, 10(1) www.IJARIIT.com.

MLA
Anisha Anand, Shalu, Riya Bharti, Aditya Mishra, Aditya Kumar, Dr. Vatsala Sharma. "IOT Based Home Security Smart System Using Arduino." International Journal of Advance Research, Ideas and Innovations in Technology 10.1 (2024). www.IJARIIT.com.

Abstract

Rapid advances in technology have led to increased interest in home security systems designed to improve the security and protection of residential properties. This research paper provides a comprehensive study on the design, development and implementation of a home alarm system using Arduino. The system uses an array of sensors and an Arduino microcontroller to detect potential intruders and instantly trigger the alarm. This study demonstrates effectiveness, reliability, and economy, making it useful for home security applications. This article presents the design and implementation of a home alarm using Arduino as an IoT application. The Internet connection module for this system connects to the central power supply of the home network that can be accessed from the Internet. Use a static IP address for wireless connections. Home automation relies on a variety of applications that can be run using Google Assistant or voice recognition commands in the user's web application. Therefore, the main goal of this paper is to model our home automation safer and smarter.