scholarly journals Home Automation with Intruder Detection and Energy Control

2021 ◽  
Vol 9 (VI) ◽  
pp. 3473-3480
Author(s):  
M. Niharika
Keyword(s):  
Light Intensity ◽  
Smart Home ◽  
Security System ◽  
Automation System ◽  
Home Automation ◽  
Energy Control ◽  
Intruder Detection ◽  
Alert Message ◽  
Home Automation System

In previous project we made a home automation system, where we can control our appliances through Blynk app and Google assistant with the help of IFTTT. As an extension we will provide feedback to user whether the appliance is on or off. We will also use sensors like LDR for measuring light intensity in this project to make it smart. We will also include security system where in we have sensors to doors and windows and give buzzer along with an alert message to the user. On a whole we will provide a smart home automation system.

scholarly journals SMART HOME AUTOMATION AND SECURITY SYSTEM DESIGN BASED ON IOT APPLICATIONS

2019 ◽  
Vol 9 (2) ◽  
pp. 57-71
Author(s):  
Shameem Ahmad ◽  
Arghya Saha ◽  
Leong Wen Chek ◽  
Saad Mekhilef ◽  
Tariful Azam ◽  
...  
Keyword(s):  
User Interfaces ◽  
Smart Home ◽  
Security System ◽  
Raspberry Pi ◽  
Automation System ◽  
Home Automation ◽  
Automation Systems ◽  
Home Automation System ◽  
Key Enabling Technologies ◽  
Global And Local

Conventional Home Automation Systems lack many of the essential properties of home automation system, which are now easily accessible with modern technologies like IoT where every device is connected and can be controlled through internet. The proposed system presents a standard home automation system with all requirements an automation system has like – scalable, configurable, DIY and serves the most important function which is plug and play. Firstly, this paper discuss the merits and demerits of mainstream works on home automation system. Next, key enabling technologies – Cloud (Pubnub), Android Applications, WiFi Module (ESP 8266), Raspberry Pi have been discussed. User interfaces for web, pc and mobile devices are designed for this system. Also, algorithm has been constructed for connecting Wi-Fi/Bluetooth module with the system to control wirelessly. Smart home security system has been added by using PIR motion Sensor. Lastly, data have been measured from the different sensors and power consumption of the devices were calculated and showed on a graph. . Then, electricity bill consumption has been calculated and sent by sms to the user. Global and local accessing from web interface and Android Application to control devices and configurable feature (change as per require) makes the system a standard home automation framework

scholarly journals Internet of Things-Based Intelligent Smart Home Control System

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Olutosin Taiwo ◽  
Absalom E. Ezugwu
Keyword(s):  
Machine Learning ◽  
Mobile Application ◽  
Smart Home ◽  
Human Life ◽  
Machine Learning Algorithms ◽  
Support Vector ◽  
Automation System ◽  
Home Automation ◽  
Area Of Interest ◽  
Home Automation System

The smart home is now an established area of interest and research that contributes to comfort in modern homes. With the Internet being an essential part of broad communication in modern life, IoT has allowed homes to go beyond building to interactive abodes. In many spheres of human life, the IoT has grown exponentially, including monitoring ecological factors, controlling the home and its appliances, and storing data generated by devices in the house in the cloud. Smart home includes multiple components, technologies, and devices that generate valuable data for predicting home and environment activities. This work presents the design and development of a ubiquitous, cloud-based intelligent home automation system. The system controls, monitors, and oversees the security of a home and its environment via an Android mobile application. One module controls and monitors electrical appliances and environmental factors, while another module oversees the home’s security by detecting motion and capturing images. Our work uses a camera to capture images of objects triggered by their motion being detected. To avoid false alarms, we used the concept of machine learning to differentiate between images of regular home occupants and those of an intruder. The support vector machine algorithm is proposed in this study to classify the features of the image captured and determine if it is that of a regular home occupant or an intruder before sending an alarm to the user. The design of the mobile application allows a graphical display of the activities in the house. Our work proves that machine learning algorithms can improve home automation system functionality and enhance home security. The work’s prototype was implemented using an ESP8266 board, an ESP32-CAM board, a 5 V four-channel relay module, and sensors.

scholarly journals Smart Home Environment Future Challenges and Issues - A Survey

2021 ◽  
Vol 3 (1) ◽  
pp. 1-8
Author(s):  
Sathesh ◽  
Yasir Babiker Hamdan
Keyword(s):  
Energy Management ◽  
Home Environment ◽  
Smart Home ◽  
Automation System ◽  
Home Automation ◽  
Negative Effects ◽  
Research Article ◽  
Home Energy Management ◽  
Smart Home Environment ◽  
Home Automation System

The smart home automation is that the exploitation internet enabled devices remotely and mechanically management appliances such as lighting, heating system and security measures in and around your home. This papers talks about relative emission effects in Home Energy Management. Also the result outcome is that consumption of the electricity will be reduced towards green environment. Moreover, the research paper is considering the analysis of calculate the negative effects in environment due to full home automation system. While calculating these negative effects, the Life Cycle Assessment (LCA) should be in sum total. This study uses to analysis the electricity consumption for environment impact of Home Energy Management system (HEMs). The research article discusses home automation system consumes the energy for different devices connected for smart home. The maximum energy consumption in smart home network is smart plugs due to an uninterrupted supply. Therefore this research article comprises about home automation energy management that shows the balance energy consumption between the devices in a regular interval. Also this research article provides a future challenge tasks in security issues in smart home environment. Also the perception for smart home environment focuses the Interoperability, Reliability, Integration of smart homes and term privacy in context, term security and privacy vulnerabilities to smart home.

One solution for voice enabled smart home automation system

2017 ◽  
Author(s):  
Eleonora Nan ◽  
Una Radosavac ◽  
Milica Matic ◽  
Igor Stefanovic ◽  
Istvan Papp ◽  
...  
Keyword(s):  
Smart Home ◽  
Automation System ◽  
Home Automation ◽  
Home Automation System

Smart Home automation system using IR, bluetooth, GSM and android

2017 ◽  
Author(s):  
Anuja Shinde ◽  
Shobha Kanade ◽  
Namrata Jugale ◽  
Abhijeet Gurav ◽  
Rambabu A. Vatti ◽  
...  
Keyword(s):  
Smart Home ◽  
Automation System ◽  
Home Automation ◽  
Home Automation System

Smart Home Automation System

2021 ◽  
Author(s):  
Sezai Kaya ◽  
Oguzcan Gorucu ◽  
Pinar Kirci
Keyword(s):  
Smart Home ◽  
Automation System ◽  
Home Automation ◽  
Home Automation System

Domicile - An IoT Based Smart Home Automation System

2019 ◽  
Author(s):  
Md. Sadad Mahamud ◽  
Md. Saniat Rahman Zishan ◽  
Syed Ishmam Ahmad ◽  
Ahmed Rezaur Rahman ◽  
Mehedi Hasan ◽  
...  
Keyword(s):  
Smart Home ◽  
Automation System ◽  
Home Automation ◽  
Home Automation System

Smart home automation system using Arduino microcontrollers

2020 ◽  
Author(s):  
Dan-Ioan Gota ◽  
Adela Puscasiu ◽  
Alexandra Fanca ◽  
Liviu Miclea ◽  
Honoriu Valean
Keyword(s):  
Smart Home ◽  
Automation System ◽  
Home Automation ◽  
Home Automation System
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