scholarly journals An Undergraduate Independent Study Project on the Design of a Home Automation System Using Global System for Mobile Communication

2021 ◽  
Author(s):  
Eleanor Leung
Keyword(s):  
Mobile Communication ◽  
Independent Study ◽  
Automation System ◽  
Home Automation ◽  
Global System ◽  
Home Automation System

scholarly journals A Review on Advanced Home Automation System using GSM and AI

2021 ◽  
Vol 9 (VI) ◽  
pp. 459-461
Author(s):  
Shruti S. Gulkari
Keyword(s):  
Artificial Intelligence ◽  
Mobile Communication ◽  
Smart Home ◽  
Continuous Process ◽  
Automation System ◽  
Short Message ◽  
Home Automation ◽  
Air Conditioner ◽  
Global System ◽  
Home Appliances

In this proposed work, we are going to connect home appliances to user mobile so that they can handle their appliances by remote distances. Smart home and artificial technology are the trending technology which is developing rapidly. This smart home product improves the quality of living for occupants. In this system, we explore full home control or home automation by using GSM (Global System for Mobile Communication). User home appliances such as LED bulb, air conditioner etc. is controlled by GSM (Global System for Mobile Communication) modem via SMS (Short Message Services) text message is presented in this paper. In this project, we are using AI (Artificial Intelligence) to operate devices. AI (Artificial Intelligence) is relatively a new idea that is easily accessible today by anyone who has access to a computer or a smartphone. This (Artificial Intelligence) also becoming a powerful presence in technology, has been swiftly dominating the home automation market. This allows us to integrate smart solutions into our everyday tasks. In this work, we are going to execute a continuous process to home appliances control system without any supervisor and later it will co-ordinate appliances and other devices through Short Message Service using GSM(Global System for Mobile Communication) and AI(Artificial Intelligence)

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.

scholarly journals Home Automation Controlled through Wifi-Module and Blynk App

2021 ◽  
Vol 9 (VI) ◽  
pp. 3374-3383
Author(s):  
M. Niharika
Keyword(s):  
Control System ◽  
Internet Of Things ◽  
Real Time ◽  
Cell Phone ◽  
Automation System ◽  
Home Automation ◽  
Home Appliances ◽  
Home Automation System ◽  
Electrical Loads

This Home Automation System is based on the ESP8266 wifi module. With the help of this project the electrical loads can be controlled using your android cell phone. For this project we have to connect ESP8266 Wi-fi module and cell phone with the same WIFI network. This project can be used at homes, offices, colleges, universities, and so on. For the Worldwide control system, we can use the Nodemcu ESP8266 Wifi Module. This system is very convenient and economical to use. Major components used in it are: esp8266 wifi modulerelays. With this internet of things we can control four home appliances from the Blynk app, we can also use manual switches to control the appliances with or without internet and we can also monitor real-time feedback. So this is very useful to make our devices smart .In this project we have used four channel relay. In this project we have controlled AC appliances like Lights etc. In this project we used IFTTT with the help of ifttt we can connect all of our apps and devices.

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