scholarly journals IoT Based Voice Controlled Multitasking System for Home

2019 ◽  
Vol 9 (1) ◽  
pp. 4265-4268
Keyword(s):  
Internet Of Things ◽  
Smart Home ◽  
Raspberry Pi ◽  
Family Unit ◽  
Human Voice ◽  
The Family ◽  
Voice Control ◽  
The Voice ◽  
Dedicated Hardware

Internet of Things is a rising innovation that makes our world more astute. In recent years, there has been immense development in the realm of insightful gadgets for home mechanization. Such contraptions are planned so as to facilitate communication among individuals and everyday home obligations. This paper exhibits a voice-controlled smart home with multi-functions using ESP32 as the wireless choice. Voice control (using human voice to control any load like light, fan, ac, geyser, motor etc.). The voice-commands are recognized by a dedicated hardware module and the recognized data is sent to database using ESP32. On the accepting unit, raspberry pi peruses the information from the database and deciphers the directions verbally expressed by the client and controls the family unit apparatuses.

scholarly journals Internet of Things–based smart home system using a virtualized cloud server and mobile phone app

2019 ◽  
Vol 15 (9) ◽  
pp. 155014771987935
Author(s):  
Guo-Ming Sung ◽  
Yen-Shin Shen ◽  
Jia-Hong Hsieh ◽  
Yu-Kai Chiu
Keyword(s):  
Internet Of Things ◽  
Wireless Communication ◽  
Mobile Phone ◽  
Smart Home ◽  
Near Field ◽  
Home Monitoring ◽  
Raspberry Pi ◽  
Wireless Communication Protocol ◽  
Cloud Server ◽  
To Receive

This article proposes an Internet of Things–based smart home system composed of a virtualized cloud server and a mobile phone app. The smart Internet of Things–based system includes a sensing network, which is developed with the ZigBee wireless communication protocol, a message queuing telemetry transport, a virtualized cloud server and a mobile phone app. A Raspberry Pi development board is used to receive packet information from the terminal sensors using ZigBee wireless communication. Then, the message queuing telemetry transport broker not only completes transmission of the message but also publishes it to the virtualized cloud server. The transmission can then be viewed through the website using a mobile phone. The designed app combines the application of the virtualized cloud server, client sensors and the database. Verification experiments revealed the measured average response time and throughput of approximately 4.0 s and 6069 requests per second, respectively, for the virtualized web server and approximately 0.144 s and 8866 packets per second, respectively, for the message queuing telemetry transport broker. The designed functions of the mobile phone app are a global positioning system home monitoring, family memo, medical care and near-field communication key. Both interlinkage and handler methods are proposed to facilitate a powerful function without delay in displaying information. The proposed system integrates with software and hardware to complete the data analysis and information management quickly and correctly. It can cater to user needs with superior ease and convenience.

scholarly journals Electric Load Forecasting for Internet of Things Smart Home Using Hybrid PCA and ARIMA Algorithm

2021 ◽  
pp. 425-430
Author(s):  
Hamdi W. Rotib ◽  
◽  
Muhammad B. Nappu ◽  
Zulkifli Tahir ◽  
Ardiaty Arief ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Smart Home ◽  
Load Forecasting ◽  
Principal Component ◽  
Touch Screen ◽  
Infrared Light ◽  
Raspberry Pi ◽  
Electric Load ◽  
Sensors And Actuators ◽  
Electric Load Forecasting

Many types of research have been conducted for the development of Internet of Things (IoT) devices and energy consumption forecasting. In this research, the electric load forecasting is designed with the development of microcontrollers, sensors, and actuators, added with cameras, Liquid Crystal Display (LCD) touch screen, and minicomputers, to improve the IoT smart home system. Using the Python program, Principal Component Analysis (PCA) and Autoregressive Integrated Moving Average (ARIMA) algorithms are integrated into the website interface for electric load forecasting. As provisions for forecasting, a monthly dataset is needed which consists of electric current variables, number of individuals living in the house, room light intensity, weather conditions in terms of temperature, humidity, and wind speed. The main hardware parts are ESP32, ACS712, electromechanical relay, Raspberry Pi, RPi Camera, infrared Light Emitting Diode (LED), Light Dependent Resistor (LDR) sensor, and LCD touch screen. While the main software applications are Arduino Interactive Development Environment (IDE), Visual Studio Code, and Raspberry Pi OS, added with many libraries for Python 3 IDE. The experimental results provided the fact that PCA and ARIMA can predict short-term household electric load accurately. Furthermore, by using Amazon Web Services (AWS) cloud computing server, the IoT smart home system has excellent data package performances.

scholarly journals Design and Analysis of the System of Internet of Things Smart Home

2012 ◽  
Vol 6-7 ◽  
pp. 900-906
Author(s):  
Shun Bing Zhu ◽  
Chun Quan Du ◽  
Miao Miao Niu
Keyword(s):  
Internet Of Things ◽  
Detailed Analysis ◽  
System Architecture ◽  
Smart Home ◽  
Home Network ◽  
Community Based ◽  
The Family ◽  
Technical Issues ◽  
Intelligent Devices ◽  
Smart Community

Application of Internet of Things (IOT) in smart home is the direction of the development and promotion of networking industry. This article first proposes smart home system architecture , based on the analysis of typical services provided by home network and within the family intelligent devices inside, then the article describes the solutions of IOT smart home and smart community based on the family intelligent terminals and the features and characteristics of the family intelligent terminals. Finally, detailed analysis the key technical issues of IOT Smart Home middleware and application platforms,standard-setting and so on, provides detail content of IOT smart home equipments research and develop and testing and verifying.

Design of Voice Control System for Smart Home Based on STM32

2015 ◽  
Vol 734 ◽  
pp. 369-374 ◽  
Author(s):  
Ping Qian ◽  
Ying Zhen Zhang ◽  
Yu Li
Keyword(s):  
Control System ◽  
Speech Recognition ◽  
Smart Home ◽  
High Performance ◽  
Practical Application ◽  
Ultra Low Power ◽  
Home Based ◽  
Voice Control ◽  
The Voice ◽  
The Internet Of Things

The application of embedded speech recognition technology in the smart home is researched, combining of the Internet of Things, the voice control system for smart home has been designed. The core processor chooses the high-performance Cortex-M4 MCU STM32F407VGT6 produced by STMicroelectronics. The system contains a hardware unit based on LD3320 for speaker-independent speech recognition. RF wireless communication uses ultra-low power chip CC1101 and GSM employ SIM900A. Real-time operating system FreeRTOS is used for multitask scheduling and the operation of household devices. The practical application verifies that this voice control system practicably can identify voice commands quickly and accurately, complete the control actions primely, has a wide application prospect.

scholarly journals Comparison of CNNs and SVM for voice control wheelchair

2020 ◽  
Vol 9 (3) ◽  
pp. 387
Author(s):  
Mohammad Shahrul Izham Sharifuddin ◽  
Sharifalillah Nordin ◽  
Azliza Mohd Ali
Keyword(s):  
Feature Extraction ◽  
Processing Time ◽  
Voice Recognition ◽  
The Other ◽  
Raspberry Pi ◽  
Intelligent Wheelchair ◽  
Voice Control ◽  
Voice Data ◽  
The Voice ◽  
Feature Extraction Technique

In this paper, we develop an intelligent wheelchair using CNNs and SVM voice recognition methods. The data is collected from Google and some of them are self-recorded. There are four types of data to be recognized which are go, left, right, and stop. Voice data are extracted using MFCC feature extraction technique. CNNs and SVM are then used to classify and recognize the voice data. The motor driver is embedded in Raspberry PI 3B+  to control the movement of the wheelchair prototype. CNNs produced higher accuracy i.e. 95.30% compared to SVM which is only 72.39%. On the other hand, SVM only took 8.21 seconds while CNNs took 250.03 seconds to execute. Therefore, CNNs produce better result because noise are filtered in the feature extraction layer before classified in the classification layer. However, CNNs took longer time due to the complexity of the networks and the less complexity implementation in SVM give shorter processing time.

scholarly journals RANCANG BANGUN PROTOTYPE SMART HOME DENGAN KONSEP INTERNET OF THINGS (IOT) MENGGUNAKAN RASPBERRY PI BERBASIS WEB

eLEKTRIKA ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 1
Author(s):  
Bagus Eryawan ◽  
Ari Endang Jayati ◽  
Sri Heranurweni
Keyword(s):  
Internet Of Things ◽  
Smart Home ◽  
Web Applications ◽  
Raspberry Pi ◽  
The Internet ◽  
Living Room ◽  
Base System ◽  
Brushless Motor ◽  
The Cost ◽  
The City

High economic growth makes the demand for comfortable and safe houses increase and the application of technology that is most clearly seen is technology with automatic systems. With this technology, the use of electricity in the house can be minimized and offer convenience in controlling the house. Sometimes homeowners forget to turn off the lights when they are outside the house so they have to go back and do checks that are very inefficient both in terms of time and financially such as the cost of gasoline to return to the house. Based on this, the Smart Home Prototype was created with the concept of the Internet of Things (IoT) using Raspberry Pi Web-Based, which is a system that can remotely control electronic home appliances using Raspberry Pi as a base system, which is connected to Web Applications through the internet network. The electronic equipment used in this study is in the form of 5 lamps, 1 stepper motor to control the garage, 1 servo motor to control the door lock, and 1 brushless motor that functions as a fan. Blocking and overall test results on Bedroom Lights, Living Room Lights, Kitchen Lights, Bathroom Lights, Porch Lights, Garages, Door Locks, and Fans, all work well. The testing of the distance between cities against the Prototype Smart Home was successfully carried out, where the Prototype Smart Home in the City of Demak was successfully controlled by the User who at the time of testing was in the City of Semarang, Kudus, Japan, Surabaya, and Jakarta.

scholarly journals An enhanced security alert system for smart home using IOT

2019 ◽  
Vol 13 (1) ◽  
pp. 27 ◽  
Author(s):  
Afshana Khanum ◽  
Rekha Shivakumar
Keyword(s):  
Internet Of Things ◽  
Mobile Phones ◽  
Smart Home ◽  
Fog Computing ◽  
Raspberry Pi ◽  
Alert System ◽  
Home Security ◽  
Alert Message ◽  
Web Camera ◽  
Minimal Effort

<p>Today due to advancement in technology and Internet of Things, to deal with step-by-step jobs like mailing, accessing bank entries, watching degree of hotness and other jobs PCs were utilized. Because of fast improvement in IOT nowadays tablets, advanced mobile phones are utilized for such assignments [1]. Home security can be characterized as observing the home remotely located or centrally located. Today, home security is getting to be vital as the conceivable outcomes of interruption is expanding step by step, yet they have issues like postponement, non-web empowered and hard to deal. Intruder recognition is basic parts of home computerization and home security frameworks. Most generally, utilized specialized devices are mobile phones and sending mails are considered for controlling home appliances remotely by proposing productive structures. An Enhanced Security Alert System for Smart Home using IOT is composed in our proposed work. It identifies the intruder when no one is in home by sending alert message or caught picture to the proprietor (or) owner. Proposed framework is ease home security framework utilizes an IP Web-camera and Raspberry pi for limiting delay during the time of sending alert message. Fog Computing is incorporated to proposed framework to expand the level of security and limit the engendering delay. Proposed framework is to give minimal effort arrangement and adaptable association instrument for coordinating Internet of Things with home security frameworks.</p><p><em> </em></p>

scholarly journals Autonomous Mars Rover Design using SOLIDWORKS and User Interface development via Internet of Things

2021 ◽  
Vol 9 (10) ◽  
pp. 1441-1451
Author(s):  
Srutanjay Ramesh
Keyword(s):  
User Interface ◽  
Internet Of Things ◽  
Graphical User Interface ◽  
Vision System ◽  
Raspberry Pi ◽  
Sensors And Actuators ◽  
Multiple Control ◽  
Mars Rover ◽  
Voice Control ◽  
Motion Studies

Abstract: In this paper, an autonomous Mars Rover is designed using the software SOLIDWORKS and a mechanical model is developed with in-depth simulations to analyse the functions of the vehicle. Furthermore, a graphical user interface is also developed based on the principles of Internet of Things using Node-Red to control and monitor the rover remotely. The red planet, i.e.; Mars, has been the centre of attraction for over 2 decades now, with astrophysicists and engineers working in unison to build devices and launch shuttle programs to understand and learn about the planet and gather more intelligence. This paper proposes the detailed development of a 6-wheeled rover that could explore the terrains of Mars, featuring a stereo vision system that could provide live video coverage and a robotic arm that can facilitate investigation of the surface, in an attempt to contribute to and fulfil the human race’s mission to Mars. It employs multiple onboard sensors that can acquire necessary data pertaining to the environmental conditions and actuators that enable functionality, with the sensors and actuators integrated onto a control system based on microcontrollers and microprocessors such as Arduino and Raspberry Pi. The rover also has a provision of a payload bay in its rear which enables it to carry loads. The SOLIDWORKS tool from Dassault systèmes is used to design and model the rover and carry out static analysis and motion studies. The GUI developed in the further sections allows overall voice control for the user and makes the task of monitoring the rover a much simpler task by eliminating the complexity that rises due to multiple control platforms. Keywords: Mars Rover, Graphical User Interface (GUI), Chassis, Mastcam, Actuators, Internet of Things (IoT), Nitinol, Payload

scholarly journals Edge Container for Speech Recognition

Electronics ◽  
2021 ◽  
Vol 10 (19) ◽  
pp. 2420
Author(s):  
Lukáš Beňo ◽  
Rudolf Pribiš ◽  
Peter Drahoš
Keyword(s):  
Speech Recognition ◽  
Control Function ◽  
Independent Solution ◽  
Local Network ◽  
Raspberry Pi ◽  
Additional Contribution ◽  
Industrial Systems ◽  
Voice Control ◽  
Actual Speech ◽  
The Voice

Containerization has been mainly used in pure software solutions, but it is gradually finding its way into the industrial systems. This paper introduces the edge container with artificial intelligence for speech recognition, which performs the voice control function of the actuator as a part of the Human Machine Interface (HMI). This work proposes a procedure for creating voice-controlled applications with modern hardware and software resources. The created architecture integrates well-known digital technologies such as containerization, cloud, edge computing and a commercial voice processing tool. This methodology and architecture enable the actual speech recognition and the voice control on the edge device in the local network, rather than in the cloud, like the majority of recent solutions. The Linux containers are designed to run without any additional configuration and setup by the end user. A simple adaptation of voice commands via configuration file may be considered as an additional contribution of the work. The architecture was verified by experiments with running containers on different devices, such as PC, Tinker Board 2, Raspberry Pi 3 and 4. The proposed solution and the practical experiment show how a voice-controlled system can be created, easily managed and distributed to many devices around the world in a few seconds. All this can be achieved by simple downloading and running two types of ready-made containers without any complex installations. The result of this work is a proven stable (network-independent) solution with data protection and low latency.

scholarly journals Home Automation by Speech Recognition

2019 ◽  
Vol 8 (12S) ◽  
pp. 241-243
Keyword(s):  
Smart Home ◽  
Home Automation ◽  
Voice Command ◽  
Control Interface ◽  
Voice Control ◽  
Efficient Control ◽  
Speech Control ◽  
Actual Speech ◽  
Free Interaction ◽  
The Voice

The speech control is now most important feature of a smart home. In this paper, we projected voice command module that is used to enable the user for a hands-free interaction between smart home and himself. We presented mainly three components that is required for a simple and an efficient control of smart home device(s). The wake-up-word parts allows the actual speech command processing. The voice recognition part maps the spoken voice command to text and then Voice Control Interface passes that text into an appropriate JSON format for the home automation. We evaluate every possibility of using a voice control module in the smart home by distinctly analyzing each and every component of module

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