scholarly journals Smart Home Automation using Voice Recognition

2021 ◽  
Vol 9 (10) ◽  
pp. 1681-1688
Author(s):  
Dhruv Piyush Parikh
Keyword(s):  
Smart Home ◽  
Voice Recognition ◽  
Cost Effective ◽  
Automation System ◽  
Home Automation ◽  
New Instrument ◽  
Home Automation System ◽  
User Friendly ◽  
Voice Flow ◽  
Modern Era

Abstract: This modern era is about pursuing your passion, people not only focus on work but take up several hobbies to follow, either it be learning a new instrument, hiking, or vlogging your life. Everything must be done within 24 hours of a day. This creates a never-ending demand for technology that could encourage full utilization of time by eliminating the basic and mundane tasks of individuals. Inspired by this stream of thoughts we are developing a system that provides a cost-effective solution to the problem by creating a voice-operated home automation system. This is achieved by using the principles of the Internet of Things integrated with Neural Libraries. We can create an environment in which several appliances can be operated on voice commands, either it be turning on a fan or closing a door all are just one command away. The system utilizes BOLT IoT with a voice flow application to make an economical, scalable, and user-friendly home automation model. Keywords: IoT, Voice recognition, Smart home, BOLT IoT, Integromate.

scholarly journals Smart Home Automation System using Ble

2019 ◽  
Vol 8 (10) ◽  
pp. 657-661
Keyword(s):  
Smart Home ◽  
Low Cost ◽  
Cost Effective ◽  
Test System ◽  
Automation System ◽  
Home Automation ◽  
Effective Technology ◽  
Home Automation System ◽  
Java Code ◽  
Entire Procedure

This paper presents technology which deals with low cost and efficient for example Bluetooth technology for controlling yeelight. This is achieved by incorporating java code into artik board. Technology has been developed at a high pace. Furthermore, it will never stop. Web of Things is getting to be prevalent nowadays because of putting tremendous effects on life. To structure an item utilizing current technology that ought to be gainful to the lives of others is an extraordinary test now a world. This paper exhibits cost effective technology for example ble, an artik board, yeelight, and test system simulator. The test system is utilized to control the shade of the yeelight in the scope of ble. The wireless communication has been established between the light and the board. This entire procedure will be incorporated according to popular request/response in accordance with the JSON format. The advantages of the light are it possesses low cost with less utilization of power.

scholarly journals Secure Voice Control IOT Device

2020 ◽  
pp. 336
Author(s):  
Johnson Mathew ◽  
Divyeshree Potdar ◽  
Nehal Sankhe ◽  
Kajal Khairnar
Keyword(s):  
Smart Home ◽  
Low Cost ◽  
Automation System ◽  
Home Automation ◽  
Home Appliances ◽  
The People ◽  
Voice Control ◽  
Home Automation System ◽  
User Friendly ◽  
And Control

The world is moving fastly towards automation. People have less time to handle any work so automation is simple way to handle any device or machine will work to our desire. This paper aim is to develop and design a Home automation using Arduino with Bluetooth module. Home automation system gives a simple and reliable technology with Android application. Home appliances like fan, Bulb, AC, automatic door lock are controlled by Home automation system using Arduino Uno with Bluetooth module. The paper mainly focuses on the monitor and control of smart home by Andorid phone and provide a security based smart home, when the people does not present at home. This paper motive is controlled home appliances in smart home with user friendly, design at low cost, simple installation.

scholarly journals Voice Controlled Smart Home Automation System

2019 ◽  
Vol 8 (3) ◽  
pp. 4092-4093
Keyword(s):  
User Interface ◽  
Speech Recognition ◽  
Smart Home ◽  
Cost Effective ◽  
Automation System ◽  
Home Automation ◽  
Automation Systems ◽  
Home Automation System ◽  
The Cost ◽  
Electrical Appliance

The home automation is the future and important part of a house. The home automation is highly reliable in system for controlling house electrical appliances. As technologies improves the home automation system are becoming smarter and can regulate certain tasks automatically and autonomously. The home automation systems are cost effective and reduces the consumption of energy of household and cut the cost of electricity bills. In this paper a home automation system is discussed, the system controls the electrical appliance of house by using user interface device and speech recognition technology by using micro-controller device via a Bluetooth module and a mechanical relay acting as a switch for controlling electrical appliances.

scholarly journals An IoT-Based Smart Home Automation System

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3784
Author(s):  
Cristina Stolojescu-Crisan ◽  
Calin Crisan ◽  
Bogdan-Petru Butunoi
Keyword(s):  
Application Programming Interface ◽  
Smartphone Application ◽  
Raspberry Pi ◽  
Automation System ◽  
Home Automation ◽  
Network Connection ◽  
Communication Scheme ◽  
Application Programming ◽  
Home Automation System ◽  
User Friendly

Home automation has achieved a lot of popularity in recent years, as day-to-day life is getting simpler due to the rapid growth of technology. Almost everything has become digitalized and automatic. In this paper, a system for interconnecting sensors, actuators, and other data sources with the purpose of multiple home automations is proposed. The system is called qToggle and works by leveraging the power of a flexible and powerful Application Programming Interface (API), which represents the foundation of a simple and common communication scheme. The devices used by qToggle are usually sensors or actuators with an upstream network connection implementing the qToggle API. Most devices used by qToggle are based on ESP8266/ESP8285 chips and/or on Raspberry Pi boards. A smartphone application has been developed that allows users to control a series of home appliances and sensors. The qToggle system is user friendly, flexible, and can be further developed by using different devices and add-ons.

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 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 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.

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