scholarly journals Design and Implementation of Home Automation of Embedded System Design with Internet of Things (IoT)

2019 ◽  
Vol 8 (4) ◽  
pp. 7208-7212
Keyword(s):  
Embedded System ◽  
Sensor Data ◽  
Automation System ◽  
Home Automation ◽  
Mobile Telephones ◽  
Previous Decade ◽  
Share Data ◽  
Home Automation System ◽  
Developing System ◽  
Intel Galileo

With the advancement of Automation innovation, life is getting less complex and simpler in all perspectives. In this day and age Programmed frameworks are being favoured over a manual framework. The fast increment in the number of clients of the web over the previous decade has made the Internet a vital part of life, and IoT is the most recent and rising web innovation. Web of things is a developing system of a regular article from mechanical machine to purchase products that can share data and complete assignments while you are occupied with other exercises. Remote Home Automation tool (WHAS) utilizing IoT is a framework that utilizations PCs or mobile telephones to manipulate vital home capacities and highlights without a doubt through the net from anywhere around the world, a robotized home is every so often referred to as a sensible domestic In this paper we gift a Home Automation System (HAS) making use of Intel Galileo that employs the coordination of cloud organizing, a long way off correspondence, to provide the patron far off manage of diverse lighting fixtures, lovers, and apparatuses interior their home what is more, placing away the statistics in the cloud. The device will routinely alternate based on sensor data.

INTEL GALILEO BASED HOME AUTOMATION SYSTEM IN MALAYSIA

2015 ◽  
Vol 78 (1) ◽  
Author(s):  
Koay Bee Bee ◽  
Pang Shi Hao ◽  
Loke Jiunn Woei ◽  
Mohd Adib Omar
Keyword(s):  
Low Cost ◽  
Automation System ◽  
Home Automation ◽  
Android Application ◽  
Consumer Adoption ◽  
Tropical Countries ◽  
Automation Systems ◽  
Home Automation System ◽  
User Friendly ◽  
Intel Galileo

Several home automation systems have been rapidly introduced in the recent years. However, the consumer adoption of home automation systems has been immensely slow. Moreover, most home automation systems available in the market are designed for western countries and do not have certain features that are crucial for consumers in tropical countries like Malaysia. Therefore, this paper identifies the possible criteria for this slow adoption and evaluates the potential of Intel Galileo for addressing these problems. Four popular home automation technologies are analysed and surveys are conducted to identify the needs of electricity and water consumers in Malaysia. A low cost, secure, user-friendly, easily installed and flexible Intel Galileo based home automation system that caters the needs of Malaysians is presented. The system is integrated with an Android application and uses a Wi-Fi network. To demonstrate the feasibility and effectiveness of the proposed system, the design and prototype implementation of a basic home automation system based on the Intel Galileo is developed and evaluated based on several tests and interviews. The proposed system can be used as a reference to increase consumer adoption of home automation systems in tropical countries.

scholarly journals IOT Based Home Automation System with Cloud Organizing

2018 ◽  
Vol 7 (2.32) ◽  
pp. 412
Author(s):  
S Hrushikesava Raju ◽  
Dr M.Nagabhushana Rao ◽  
N Sudheer ◽  
P Kavitharani
Keyword(s):  
United States ◽  
United States Of America ◽  
Automation System ◽  
Home Automation ◽  
Everyday Object ◽  
Share Data ◽  
On Line ◽  
Home Automation System ◽  
Growing Network ◽  
Industrial Machine

Internet of things may be a growing network of everyday object-from industrial machine to client home appliances which will share data and complete tasks whereas you're busy with different activities. The IoT aims to unify everything in our world below a typical infrastructure, giving United States of America not solely management of things around United States of America, however conjointly keeping United States of America knowing of the state of the items. Home automation with the proliferation of IoT is changing into a reality currently, and a range of players like, Apple, Amazon, Google, Samsung, are all convergence into this area to produce the platform and solutions for sensible homes. In light-weight of this, gift study addresses IoT ideas through systematic review of pedantic analysis papers, company white papers, skilled discussions with specialists and on-line databases. The most objective of this paper is to produce an outline of web of Things, architectures, and very important technologies and their usages in our standard of living. 

Home Automation Using Bluetooth

2020 ◽  
pp. 675-678
Author(s):  
Mukesh Mahajan ◽  
Astha Dubey ◽  
Samruddhi Desai ◽  
Kaveri Netawate
Keyword(s):  
Temperature Sensor ◽  
Humidity Sensor ◽  
The Other ◽  
Automation System ◽  
Home Automation ◽  
Wireless Devices ◽  
Home Appliances ◽  
Home Automation System ◽  
Condition Systems

This paper reviews basically about Bluetooth based home automation system. It is controlled by PIC microcontroller. Home automation can be defined as the ability to perform tasks automatically and monitor or change status remotely. These include tasks such as turning off lights in the room, locking doors via smartphone, automate air condition systems and appliances which help in the kitchen. Now a days several wireless devices are available such as Bluetooth, Zigbee and GSM. Since Bluetooth is low in cost than the other two and hence is used more. In this paper we have described the methods of automating different home appliances using Bluetooth and pic microcontroller. Different sensors are involved in this system to advance and make it smarter. Sensors such as temperature sensor, liquid sensors, humidity sensor etc. can be used.

Design Of A Voice Controlled Home Automation System Using Deep Learning Convolutional Neural Network (DL-CNN)

2020 ◽  
Vol 8 (1) ◽  
pp. 57-73
Author(s):  
Lery Sakti Ramba
Keyword(s):  
Deep Learning ◽  
Speech Recognition ◽  
Background Noise ◽  
Electronic Devices ◽  
Recognition System ◽  
Background Intensity ◽  
Automation System ◽  
Home Automation ◽  
Speech Recognition System ◽  
Home Automation System

The purpose of this research is to design home automation system that can be controlled using voice commands. This research was conducted by studying other research related to the topics in this research, discussing with competent parties, designing systems, testing systems, and conducting analyzes based on tests that have been done. In this research voice recognition system was designed using Deep Learning Convolutional Neural Networks (DL-CNN). The CNN model that has been designed will then be trained to recognize several kinds of voice commands. The result of this research is a speech recognition system that can be used to control several electronic devices connected to the system. The speech recognition system in this research has a 100% success rate in room conditions with background intensity of 24dB (silent), 67.67% in room conditions with 42dB background noise intensity, and only 51.67% in room conditions with background intensity noise 52dB (noisy). The percentage of the success of the speech recognition system in this research is strongly influenced by the intensity of background noise in a room. Therefore, to obtain optimal results, the speech recognition system in this research is more suitable for use in rooms with low intensity background noise.

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.

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