scholarly journals Voice Controlled Home Automation

2019 ◽  
pp. 235-240
Author(s):  
P. Kiran Kumar ◽  
G. Joga Rao ◽  
A. Suguna ◽  
K. Bhanu Prakash Kavya G ◽  
P. Venkata Srikar Srihari
Keyword(s):  
Power Supply ◽  
Voice Recognition ◽  
Smart Phone ◽  
Home Automation ◽  
Disabled People ◽  
Voice Input ◽  
Voice Command ◽  
Home Appliances ◽  
The Voice ◽  
At Home

The work is mainly concentrated on the implementation of Voice Controlled Home Automation. It is all about the development of home appliances based on the voice command using Android. The system is used to support elderly and disabled people at home. Google application is used as voice recognition and process the voice input from the smart phone. The voice activated home automation is implemented using NodeMCU, relays, pcb connectors, diodes and power supply. The voice input is captured by the android and the NodeMCU receives the signal to control the light, fan, bulb

scholarly journals Smart wheelchair using android smartphone for physically disabled people

2018 ◽  
Vol 7 (2) ◽  
pp. 453 ◽  
Author(s):  
Siti Nur Suhaila Mirin ◽  
Khalil Azha Mohd Annuar ◽  
Chai Pui Yook
Keyword(s):  
Embedded System ◽  
Voice Recognition ◽  
Disabled People ◽  
Voice Input ◽  
Left Turn ◽  
Physically Disabled ◽  
The Right ◽  
Physically Disabled People ◽  
The Voice ◽  
Smart Wheelchair

This paper describes the development of a smart wheelchair system with voice recognition and touch controlled using an embedded system. An android application is developed and installed on the android smartphone. The system is divided into two main modes: voice recognition mode and touch mode. For the voice recognition mode, elderlies or physically disabled people (users) can provide the voice input, for example, “go”, “reverse”, “turn to the left”, “turn to the right” and “stop”. The wheelchair will move according to the command given. For the touch mode, the user can select the specified direction displayed within the four quadrants on the screen of the android smartphone to control the wheelchair. An Arduino Uno is used to execute all commands. The MD30C motor driver and HC05 Bluetooth module are used in this system. This system is designed to save time and energy of the user.

Lampu Sein Helm Sepeda Berbasis Voice Recognition

2019 ◽  
Vol 11 (01) ◽  
pp. 20-25
Author(s):  
Indra Saputra ◽  
Parulian Silalahi ◽  
Bayu Cahyawan ◽  
Imam Akbar
Keyword(s):  
Voice Recognition ◽  
Driving Safety ◽  
Bicycle Helmet ◽  
Turn Signal ◽  
Voice Command ◽  
The Voice ◽  
Indicator Signal

Bicycles are not equipped with the turn signal. For driving safety, a bicycle helmet with a turn signal is designed with voice rrecognition. It is using the Arduino Nano as a controller to control the ON and OFF of turn signal lights with voice commands. This device uses a Voice Recognition sensor and microphone that placed on a bicycle helmet. When the voice command is mentioned in the microphone, the Voice Recognition sensor will detect the command specified, the sensor will automatically read and send a signal to Arduino, then the turn signal will light up as instructed, the Arduino on the helmet will send an indicator signal via the Bluetooth Module. The device is able to detect sound with a percentage of 80%. The tool can work with a distance of <2 meters with noise <71 db.

scholarly journals Ideal Distance of Commands on EASYVR for Smart House Control

2019 ◽  
Vol 1 (2) ◽  
pp. 29-36
Author(s):  
Achmad Iqbal ◽  
Risfendra Risfendra
Keyword(s):  
Power Supply ◽  
Automatic System ◽  
Smart Home ◽  
Home Automation ◽  
Central Controller ◽  
Control Electronics ◽  
Smart House ◽  
Sound Processor ◽  
At Home

In the recent years, technology make everything to do easier. Home automation is the system otomatization for smart home. This project aims to design an automatic system tool for smart home using arduino mega 2560 as a central controller, easyVR as sound processor, driver relay and power supply. After testing, the result of this project shows a design which able to control electronics at home using audio censor. The result shows that overall function is quite well and need about 2 seconds for activated load.

scholarly journals Design and Fabrication of Voice Controlled Unmanned Aerial Vehicle

2016 ◽  
Vol 5 (3) ◽  
pp. 205
Author(s):  
S. Sakthi Anand ◽  
R. Mathiyazaghan
Keyword(s):  
Control System ◽  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Voice Recognition ◽  
Search And Rescue ◽  
Voice Input ◽  
Recognition Process ◽  
Aerial Vehicles ◽  
Aerial Vehicle ◽  
The Voice

<p class="Default">Unmanned Aerial Vehicles have gained well known attention in recent years for a numerous applications such as military, civilian surveillance operations as well as search and rescue missions. The UAVs are not controlled by professional pilots and users have less aviation experience. Therefore it seems to be purposeful to simplify the process of aircraft controlling. The objective is to design, fabricate and implement an unmanned aerial vehicle which is controlled by means of voice recognition. In the proposed system, voice commands are given to the quadcopter to control it autonomously. This system is navigated by the voice input. The control system responds to the voice input by voice recognition process and corresponding algorithms make the motors to run at specified speeds which controls the direction of the quadcopter.</p>

scholarly journals Remote Control using Voice Recognition based on Arduino

2019 ◽  
Vol 12 (3) ◽  
pp. 22-28
Author(s):  
Jinan N. Shehab
Keyword(s):  
Remote Control ◽  
Low Cost ◽  
Voice Recognition ◽  
Recognition System ◽  
Home Automation ◽  
Easy Method ◽  
C Language ◽  
Infrared Technology ◽  
Data Coordination ◽  
The Voice

Home automation becomes important, because it gives the user convenient and easy method to use home appliances. This paper aims to help people with special needs or physical disabilities and injuries by paralysis to control any device using infrared technology using voice commands based on the voice recognition system (voice recognition unit V3) system can recognize voice commands, convert them to desired data coordination and data transmission via IR transmitter and microcontroller (Arduino Uno) Receiving this signal by IR sensor to control TV receiver then get a full remote control that works by voice commands. The software consists of a Micro C language programmable microcontroller. This system is of low cost and flexible with growing variety of devices that can be controlled.

scholarly journals Smart Mirror for Home Automation

2020 ◽  
Vol 1 (1) ◽  
pp. 1-11
Author(s):  
Muhammad Syazwan Ab Latif ◽  
Ammar Asyraf Ismail ◽  
Asnazulfadhli Zariman
Keyword(s):  
Weather Forecast ◽  
Raspberry Pi ◽  
Home Automation ◽  
Voice Input ◽  
Computer Screen ◽  
Home Appliances ◽  
Design Construction

Smart Mirror for Home Automation This research describes the design, construction and working of the smart mirror. Every morning our day begins by watching ourselves at least once in mirror before leaving our homes. We interact with it psychologically to find out how we look and how our attire is. Smart Mirror or Magic Mirror is one of the applications of Raspberry Pi. A computer screen embedded in mirror looks very futuristic. The Raspberry Pi stays at back scenes and controls the data displayed on mirror. While looking at mirror, the user can look at various notifications from social sites as well news, weather forecast and more things. Such mirrors can be programmed to work as control home appliances by voice input. The Raspberry Pi is connected to monitor via HDMI as well as it also has built-in Wi-Fi and Bluetooth interfaces so we can just swipe music and videos to mirror.

scholarly journals IOT based Home Automation using Raspberry pi

2020 ◽  
Vol 9 (7) ◽  
pp. 695-698
Keyword(s):  
Mobile Application ◽  
Detection System ◽  
Smart Phone ◽  
Raspberry Pi ◽  
Home Automation ◽  
Gas Leakage ◽  
Home Appliances ◽  
Use Of Technology ◽  
Human Effort ◽  
The Internet Of Things

Automation is the process of monitoring the home that can transform the home from being manual and static to a smart and dynamic one [1]. Life is getting simpler and more comfortable in all spheres with the use of technology and innovation. This paper proposes the Internet of Things (IoT) based home automation using raspberry pi 3 b. This system consists of a smart phone with a mobile application called Blynk which is having home appliances details with switches to ON and OFF the home appliances. We also included Garden irrigation and Gas detection system for less human effort, more convenience and more comfortable to the user for complete home automation. We used MQ-2 gas sensors for gas leakage detection and FC-28 for garden irrigation. In this paper home appliances are controlled through Wi-Fi technology [2].

scholarly journals Design and Implementation of Modernised Dental Chair using Voice Recognition Control Circuit

2019 ◽  
Vol 8 (9S2) ◽  
pp. 355-357
Keyword(s):  
Low Cost ◽  
Voice Recognition ◽  
Continuous Operation ◽  
Control Circuit ◽  
Voice Command ◽  
Design And Implementation ◽  
Dental Chair ◽  
The Voice

Generally, in hospitals the dental chair can be operated forward/backward or upward/downward according to the treatment for the patients which is operated by human. Sometimes the chair will not function properly due to piston rust and over weighted patient and the dentist may have pain in the legs due to continuous operation of the chair. To overcome these issues, planning to design a voice recognition dental chair for the doctors in hospitals. This project describes the design of a smart, motorized, voice controlled dental chair. The voice command is given by the dentist/human, sensor recognizes the voice and sends the command to the Arduino. This voice command is converted to string and it is responsible for movement of chair. The intelligent dental chair is designed in such a way that it can be controlled easily by the doctor and has an advantage is the low cost design. This system was designed and developed to avoid wasting the energy and time of the doctor

scholarly journals Intelligent Home Automation System for Disabled People

2019 ◽  
Vol 9 (2) ◽  
pp. 4142-4148
Keyword(s):  
Modern Technology ◽  
Automated System ◽  
Automation System ◽  
Home Automation ◽  
Disabled People ◽  
Home Appliances ◽  
Intelligent Home ◽  
The Disabled ◽  
Home Automation System ◽  
User Friendly

This paper presents the intelligent Home Automation System (HAS) for disabled people, since still now facilities for disabled people are insufficient around the world. Numerous researchers developed different technologies considering Bluetooth technology, ZigBee system, and Wifi technology. However, these topologies lack efficient support for disabled people. Therefore, to engage the disabled people with the modern technology and make their life safe, secure and comfortable, authors have introduced the Rasberry Pi 3 Model B with Blynk application which is able to control the home appliances from their smart android phone. In this research, the motion of the intruder has been considered as the key parameters and HOG method is used to detect the motion. Experimental validation of the proposed model implies that this process is more secure and user-friendly for disabled people compare to other existing technology. Therefore, the main contribution of this research is to develop a secured automated system, which will enable the disabled people to control the home appliances and thus overcome the limitation of the existing technology

scholarly journals IoT Based Home Automation using PIR Motion Sensor and Node MCU

2020 ◽  
Vol 9 (4) ◽  
pp. 881-884
Keyword(s):  
Mobile Application ◽  
Automation System ◽  
Motion Sensor ◽  
Test Cases ◽  
Home Automation ◽  
Home Appliances ◽  
Home Automation System ◽  
Electromagnetic Relays ◽  
The Voice

This paper depicts a unique home automation system where its efficiency and accuracy can be improved by integrating the PIR motion sensor and google voice assistant. It comprises of Node MCU (esp8266) which is a Wi-Fi module used to transmit data over internet, electromagnetic relays, and the PIR sensor. This developed system works when there is any motion within the defined sensor range and it can also be controlled through the mobile application. Blynk application has been configured with the system so that it works flawlessly on both iOS and android devices. The developed microcontroller has been configured with the Blynk server which makes the home appliances work remotely and eliminates the need for a dedicated PC server. The final prototype is also configured with google assistant so that the relays can be triggered with the voice too and this system has been successfully developed, and the working prototype has been tested with various test cases.

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