scholarly journals Internet of Things: Design and Manufacture of Home Automation System with Web Server Based Arduino and Android

2019 ◽  
Vol 8 (2S11) ◽  
pp. 2590-2592
Keyword(s):  
Electronic Devices ◽  
Automated System ◽  
The Internet ◽  
Automation System ◽  
Home Automation ◽  
Android Application ◽  
Ethernet Network ◽  
Arduino Microcontroller ◽  
Home Automation System ◽  
Design And Manufacture

Home automation is an automated system created specifically to facilitate the work of humans, especially at home. Home Automation connects electronic devices to each other in a home that is integrated using the internet network and allows it to be controlled via android smartphone and web client (server). On android smartphone installed applications that have been connected with Arduino microcontroller and Ethernet shield. In this research for controlling or retrieving data via Ethernet network the easiest is Arduino serve as server and we can request and arrange data through web client or android application then data will be sent using protocol User Datagram Protocol (UDP). So to control the electronic devices can be done from a considerable distance as long as connected to the internet.

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.

Home automation system with android application

2016 ◽  
Author(s):  
Mohd Nor Azni ◽  
L. Vellasami ◽  
A.H. Zianal ◽  
F.A. Mohammed ◽  
N.N. Mohd Daud ◽  
...  
Keyword(s):  
Automation System ◽  
Home Automation ◽  
Android Application ◽  
Home Automation System

scholarly journals A Gesture Controlled and Cost Effective - Home Automation System

2019 ◽  
pp. 1033-1038
Author(s):  
Mohit Malhotra ◽  
Raghav Mittal ◽  
Madhur Jain
Keyword(s):  
Environmental Conditions ◽  
Cost Effective ◽  
The Elderly ◽  
Automation System ◽  
Home Automation ◽  
Home Appliances ◽  
Smart Watch ◽  
The Disabled ◽  
Arduino Microcontroller ◽  
Home Automation System

This paper presents a secure and reliable home automation system in order to make everyone’s life simpler and fulfil the needs of the disabled or the elderly. The paper proposes a system based on efficient smart watch that uses arduino microcontroller which is embedded with a WIFI module and enables us to control a number of home appliances such as lights, fans and others using on/off relay. In our work, the appliances need not to be smart beforehand as arduino would be externally connected to them such that the system designed would be controlled by gestures i.e. users can control the working of the appliances by moving their hand in upward or downward direction over the screen. This system is comparatively efficient and cost effective than other proposed systems in terms of scalability and reliability. Also, the proposed system has been thoroughly tested and verified in various environmental conditions.

scholarly journals Voice Enabled Home Automation System

2021 ◽  
Vol 9 (VIII) ◽  
pp. 541-547
Author(s):  
Akshad Patel
Keyword(s):  
The Internet ◽  
Automation System ◽  
Home Automation ◽  
Human Voice ◽  
Intervention Home ◽  
Voice Control ◽  
The World ◽  
Multiple Devices ◽  
Home Automation System ◽  
Python Programming

In this era of automation innovation, life is getting less demanding, simpler and the world is getting smarter. IoT gives us the power of internet, data processing and analytics to handle or control the real world. All the day to day entities can take instructions or data from the internet to function without human intervention. Home automation is the automatic control of the electronic home appliances i.e. these appliances along with being controlled manually by switches, can also be controlled through mobiles, laptops and human voice. To accomplish this, AWS IoT core has been used that allows connection of multiple devices on internet without the need of servers. Along with AWS, ESP8266 module is used which helps connect all appliances to the internet along with all the other sensors. Python programming language is used to enable voice control.

scholarly journals IOT Home Automation

2021 ◽  
Vol 9 (12) ◽  
pp. 1820-1823
Author(s):  
Ranjan Navin
Keyword(s):  
Internet Of Things ◽  
Communication Systems ◽  
Mobile App ◽  
The Internet ◽  
Automation System ◽  
Daily Routine ◽  
Home Automation ◽  
Automation Systems ◽  
Home Automation System ◽  
The Internet Of Things

Abstract: The Internet of Things (IoT) is the most recent technology platform. We may regulate our daily routine work, such as home applications, control, and simple communication systems, using IOT, and improve our digital services. The Internet of Things (IoT) is a system that intelligently adds everyday content information to the internet in order to facilitate communication between objects and humans, as well as among themselves. In this study, we demonstrate how IoT can improve home automation. The relay, Node MCU, which is a network access component, is used in our suggested system. We can control that equipment using an IoT-based system technique. Mobile phones, computers, and tablets are used as user interfaces in home automation systems. They can connect to the home automation network through a wireless internet connection. The user will interact with the system directly via the control interface, while home appliances will be controlled remotely via a mobile app. An additional aspect of the home automation system is that it may be protected remotely. This redesigned design concept provided a home automation system that could be controlled efficiently. Keywords: IOT, home automation, smart home, relay, response time, Node MCU (ESP8266)

scholarly journals Enhanced Intelligent Smart Home Control and Security System Based on Deep Learning Model

2022 ◽  
Vol 2022 ◽  
pp. 1-22
Author(s):  
Olutosin Taiwo ◽  
Absalom E. Ezugwu ◽  
Olaide N. Oyelade ◽  
Mubarak S. Almutairi
Keyword(s):  
Deep Learning ◽  
Smart Home ◽  
Learning Model ◽  
The Internet ◽  
Automation System ◽  
Home Automation ◽  
Home Security ◽  
Automation Systems ◽  
Home Automation System ◽  
Deep Learning Model

Security of lives and properties is highly important for enhanced quality living. Smart home automation and its application have received much progress towards convenience, comfort, safety, and home security. With the advances in technology and the Internet of Things (IoT), the home environment has witnessed an improved remote control of appliances, monitoring, and home security over the internet. Several home automation systems have been developed to monitor movements in the home and report to the user. Existing home automation systems detect motion and have surveillance for home security. However, the logical aspect of averting unnecessary or fake notifications is still a major area of challenge. Intelligent response and monitoring make smart home automation efficient. This work presents an intelligent home automation system for controlling home appliances, monitoring environmental factors, and detecting movement in the home and its surroundings. A deep learning model is proposed for motion recognition and classification based on the detected movement patterns. Using a deep learning model, an algorithm is developed to enhance the smart home automation system for intruder detection and forestall the occurrence of false alarms. A human detected by the surveillance camera is classified as an intruder or home occupant based on his walking pattern. The proposed method’s prototype was implemented using an ESP32 camera for surveillance, a PIR motion sensor, an ESP8266 development board, a 5 V four-channel relay module, and a DHT11 temperature and humidity sensor. The environmental conditions measured were evaluated using a mathematical model for the response time to effectively show the accuracy of the DHT sensor for weather monitoring and future prediction. An experimental analysis of human motion patterns was performed using the CNN model to evaluate the classification for the detection of humans. The CNN classification model gave an accuracy of 99.8%.

scholarly journals Home Automation Using IoT

2020 ◽  
Author(s):  
Ninad Mehendale ◽  
Avi Shah ◽  
Rohan Senghani ◽  
Nirav Patel
Keyword(s):  
Internet Of Things ◽  
Human Interaction ◽  
Raspberry Pi ◽  
The Internet ◽  
Automation System ◽  
Home Automation ◽  
Ip Address ◽  
Serial Interface ◽  
Home Appliances ◽  
Home Automation System

<p>As technology is advancing so house are also getting smarter. Modern houses are gradually shifting from convectional switches to centralized control system, involving remote control switches. Presently, convectional wall switches located in different parts of the house makes it difficult for user to go near them to operate. Even it becomes more difficult for elder people and for physically handicap people to do so.</p> <p>Internet of Things (IoT) conceptualizes the idea of remotely connecting and monitoring real world objects through the Internet. When it comes to our house, this concept can be aptly incorporated to make it smarter, safer and automated. It is a concept where each device is assign to an IP address and through that IP address anyone makes that device identifiable on internet. The Internet is an evolving entity. It started as the Internet of Computers. Research studies have forecast an explosive growth in the number of things or devices that will be connected to the Internet. The resulting network is called the Internet of Things (IoT). IoT is having the potential to change the lifestyle of peoples. In day today’s life, people prefer more of automatic systems rather than any manual systems. The major elements of IoT based home automation system are Raspberry pi and the Relay along with their driving circuitry. Home automation can be defined as a mechanism removing as much human interaction as technically possible and desirable in various domestic processes and replacing them with programmed electronic systems.</p> <p>This project is intended to construct a home automation system that uses any mobile device to control the home appliances. This home automation system is based on IoT. Home automation is very exciting field when it uses new technologies like Internet of Things. Raspberry pi is credit card size computer. Raspberry pi supports large number of peripherals. Raspberry pi is having different communication media like Ethernet port, HDMI port, USB port, Display Serial Interface, Camera Serial Interface, Bluetooth, Bluetooth low energy. It allows to control number of home appliances simultaneously.<b><br> </b><b></b></p>

scholarly journals Personal Assistant Based Home Automation using Raspberry PI

2019 ◽  
Vol 8 (3) ◽  
pp. 5398-5401
Keyword(s):  
Web Search ◽  
Intelligent System ◽  
Automated System ◽  
Raspberry Pi ◽  
Automation System ◽  
Home Automation ◽  
Air Conditioner ◽  
Home Appliances ◽  
Air Cooler ◽  
Home Automation System

A desired technology in 21st century for home automation is an intelligent system. An objective of any automated system is to reduce human labor, efforts, time and errors. Commonly Home Automation is a system where various home appliances like air conditioner, TV, Refrigerator, etc are capable to communicate with each other and they can be remotely controlled. Here is presented a paper which discuss a home automation system through virtual personal assistant’s capability of speech recognition and through raspberry pi to automate home devices such as air cooler, lights, fans, TV etc. This system is a combination of various different technologies such as voice recognition, voice analysis and voice processing. A device microphone is used to receive voice requests while the speaker gives voice output.. The system also uses Artificial intelligence techniques which can solve various human queries through web search and can also control the home appliances.

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

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