scholarly journals Selected Home Automation and Home Security Realizations: An Improved Architecture

10.5772/8408 ◽  
2010 ◽  
Author(s):  
K. Balasubramanian ◽  
A. Cellatoglu
Keyword(s):  
Home Automation ◽  
Home Security

Web Based Home Security and Automation System

2016 ◽  
Vol 5 (2) ◽  
pp. 92
Author(s):  
Norfadzlia Mohd Yusof ◽  
Aiman Zakwan Jidin ◽  
Lim Mei Sze
Keyword(s):  
Automation System ◽  
Home Automation ◽  
Light At Night ◽  
Crucial Issue ◽  
Web Based ◽  
Remote Control System ◽  
Home Security ◽  
Home Automation System ◽  
Save Energy ◽  
Web Based System

<span>Home security and automation is crucial issue concerned by people. A home security system is needed for convenience and safety. A home automation system is a key to having effective energy efficiency in the house. In this paper, we present the design and implementation of a web-based home security and automation system. This system make use of PIR motion sensor to detect intruder in the house. This sensor is further fed to microcontroller which would help the GSM module to send notification to house owner regarding the intrusion. On the other hand, the LDR light sensor is used to provide auto-light functionality which will turn on the light at night and dim it at day time. A web-based system function as a remote control system for user to monitor control the sensors and lights at home in order to save energy consumption. This system is accessible by user anytime and anywhere as long there is an Internet connection.</span>

scholarly journals Development of Voice Control and Home Security for Smart Home Automation

2018 ◽  
Author(s):  
M. Ebrahim Abidi ◽  
Ani Liza Asnawi ◽  
N.FM. Azmin ◽  
A.Z. Jusoh ◽  
S. Noorjannah Ibrahim ◽  
...  
Keyword(s):  
Smart Home ◽  
Home Automation ◽  
Home Security ◽  
Voice Control

scholarly journals Enhanced Intelligent Smart Home Control and Security System Based on Deep Learning Model

2022 ◽  
Vol 2022 ◽  
pp. 1-22
Author(s):  
Olutosin Taiwo ◽  
Absalom E. Ezugwu ◽  
Olaide N. Oyelade ◽  
Mubarak S. Almutairi
Keyword(s):  
Deep Learning ◽  
Smart Home ◽  
Learning Model ◽  
The Internet ◽  
Automation System ◽  
Home Automation ◽  
Home Security ◽  
Automation Systems ◽  
Home Automation System ◽  
Deep Learning Model

Security of lives and properties is highly important for enhanced quality living. Smart home automation and its application have received much progress towards convenience, comfort, safety, and home security. With the advances in technology and the Internet of Things (IoT), the home environment has witnessed an improved remote control of appliances, monitoring, and home security over the internet. Several home automation systems have been developed to monitor movements in the home and report to the user. Existing home automation systems detect motion and have surveillance for home security. However, the logical aspect of averting unnecessary or fake notifications is still a major area of challenge. Intelligent response and monitoring make smart home automation efficient. This work presents an intelligent home automation system for controlling home appliances, monitoring environmental factors, and detecting movement in the home and its surroundings. A deep learning model is proposed for motion recognition and classification based on the detected movement patterns. Using a deep learning model, an algorithm is developed to enhance the smart home automation system for intruder detection and forestall the occurrence of false alarms. A human detected by the surveillance camera is classified as an intruder or home occupant based on his walking pattern. The proposed method’s prototype was implemented using an ESP32 camera for surveillance, a PIR motion sensor, an ESP8266 development board, a 5 V four-channel relay module, and a DHT11 temperature and humidity sensor. The environmental conditions measured were evaluated using a mathematical model for the response time to effectively show the accuracy of the DHT sensor for weather monitoring and future prediction. An experimental analysis of human motion patterns was performed using the CNN model to evaluate the classification for the detection of humans. The CNN classification model gave an accuracy of 99.8%.

IoT Applications in Smart Home Security

2021 ◽  
pp. 251-277
Author(s):  
Rohit Rastogi ◽  
Rishabh Jain ◽  
Puru Jain
Keyword(s):  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Smart Home ◽  
Detection System ◽  
Piezoelectric Sensors ◽  
Home Automation ◽  
State Security ◽  
Iot Applications ◽  
Home Security ◽  
High Security

Robotization has changed into a fundamental piece of our lives. Everybody is completely subject to mechanization whether it is an extraordinary bundling or home robotization. So as to bring home automation into thought, everybody now needs a heterogeneous state security, and in our task on residential robotization, such high security highlights are completely on the best possible consumption. Piezoelectric sensors are compelling for sharpening appropriated wellbeing checking and structures. An intrusion detection system (IDS) is a structure that screens for suspicious movement and issues alarms when such advancement is found. Some obstruction divulgence structures are fit to take practice when poisonous improvement or peculiar action is perceived.

scholarly journals Speaker Recognition System for Home Security using Raspberry Pi and Python

2018 ◽  
Vol 7 (4.5) ◽  
pp. 95
Author(s):  
Dr Bageshree Pathak ◽  
Shriyanti Kulkarni
Keyword(s):  
Speaker Recognition ◽  
Recognition System ◽  
Raspberry Pi ◽  
Biometric Identification ◽  
Home Automation ◽  
Security Systems ◽  
Biometric Security ◽  
Home Security ◽  
Python Language ◽  
Environment Control

The transfer of manual controls to machine controls is automation. Automation is the need of the hour. Home automation is automation of home systems to create smart homes. It includes security systems, appliance control and environment control. The increasing need for safety and security has brought biometric security systems to the forefront. Speech being unique and individualistic can be used for biometric identification. The proposed system is a prototype which can be fitted for speaker recognition for home security. The system will identify the registered speakers and will allow access to the recognized speaker. The system is implemented on Raspberry pi platform using Python language.  

scholarly journals A Review on IoT Based Smart Security And Home Automation

2021 ◽  
pp. 700-705
Author(s):  
Ruhi Uzma Sheikh ◽  
Prafulla Anil Kale ◽  
Shaikh Sarfaraj ◽  
Santushti Sukhdeve ◽  
Komal Sherekar ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Low Cost ◽  
Mobile App ◽  
Security System ◽  
The Internet ◽  
Home Automation ◽  
Motion Sensors ◽  
Infrared Sensors ◽  
Home Gateway ◽  
Home Security

Recent advances in smartphones and affordable open-source hardware platforms have enabled the development of low-cost architectures for Internet-of-Things (IoT)-enabled home automation and security systems. These systems usually consist of sensing and actuating layer that is made up of sensors such as passive infrared sensors, also known as motion sensors; temperature sensors; smoke sensors, and web cameras for security surveillance. These sensors, smart electrical appliances, and other IoT devices connect to the Internet through a home gateway. This project is based on implementation of an IoT based home security system, to be able to control entrance from anywhere in the world is the major aim of this project and at same time it should be secured, and this was achieved with the use of Internet of things and some other electronics components. An automatic door control system working through a mobile app and also through a keypad was achieved. IoT refers to the infrastructure of connected physical devices which is growing at a rapid rate as a huge number of devices and objects are getting associated with the Internet. Home security is a very useful application of IoT and we are using it to create an inexpensive security system for homes as well as industrial use.

scholarly journals IoT Based Home Automation using Computer Vision

2019 ◽  
Vol 8 (12) ◽  
pp. 5044-5047
Keyword(s):  
Computer Vision ◽  
Internet Protocol ◽  
Security System ◽  
Remote Access ◽  
The Internet ◽  
Home Automation ◽  
Intelligent Environments ◽  
Home Security ◽  
Secure Environment ◽  
And Control

In this paper we will demonstrates a flexible and dependable home security system with supplementary security using an Arduino microphone, with the ability to connect via Internet Protocol (IP) through local Wi-Fi for remote access and control by an approved user using the app smartphone. IoTs describe the impression of linking and analyzing realworld events using the Internet. The concept can be implemented in our home to create a smart, safe and automated environment. The proposed service, based on IoT, is intended to create intelligent environments using computer vision and NFC computers, which send an online message to the owner in situation of any damage, if necessary raises alarm. Do not assume the power acquired as a result of this system and such an existing system is that warnings from a Wi-Fi-connected system can be accessed from any phone regardless of its eyes, regardless of whether connect phone and internet. The purpose of this model is to ensure a smart and secure environment using latest technology for our home.

IoT Applications in Smart Home Security

2022 ◽  
pp. 754-779
Author(s):  
Rohit Rastogi ◽  
Rishabh Jain ◽  
Puru Jain
Keyword(s):  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Smart Home ◽  
Detection System ◽  
Piezoelectric Sensors ◽  
Home Automation ◽  
State Security ◽  
Iot Applications ◽  
Home Security ◽  
High Security

Robotization has changed into a fundamental piece of our lives. Everybody is completely subject to mechanization whether it is an extraordinary bundling or home robotization. So as to bring home automation into thought, everybody now needs a heterogeneous state security, and in our task on residential robotization, such high security highlights are completely on the best possible consumption. Piezoelectric sensors are compelling for sharpening appropriated wellbeing checking and structures. An intrusion detection system (IDS) is a structure that screens for suspicious movement and issues alarms when such advancement is found. Some obstruction divulgence structures are fit to take practice when poisonous improvement or peculiar action is perceived.

scholarly journals Advanced Face Recognition based Door Unlock System using Arduino

2019 ◽  
Vol 8 (3) ◽  
pp. 7844-7848
Keyword(s):  
Face Recognition ◽  
Internet Of Things ◽  
Mobile Phone ◽  
Control Unit ◽  
Security System ◽  
Automation System ◽  
Home Automation ◽  
Home Security ◽  
Wide Range ◽  
And Control

Internet of Things (IoT) offers incipient and exhilarating opportunities to increment the connectivity of contrivances within the abode for the purport of home automation. Mobile contrivances are ideal in providing a utilizer Interface in a habitation Automation system, due to their portability and their wide range of capabilities. The main purpose of this paper is to design and implement an efficient home security system. Using IoT controlling and automating the entrance of house through an easy manageable interface and cloud can be used as database of the information collected. The proposed work consists of the home security with real time access and control via mobile phone and Arduino as control unit. A security system which has a webcam is deployed at the entrance of the house. This is connected to the Arduino. GSM module is used to send alert messages. Face recognition is done through EHD algorithm using MATLAB

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