scholarly journals Design of a Bimodal Home Automation System using ESP8266 and ATMEGA328 Microcontroller

2017 ◽  
Vol 6 (3) ◽  
pp. 95-108
Author(s):  
Sikiru Olayinka Zakariyya
Keyword(s):  
Long Range ◽  
Smart Home ◽  
Limited Range ◽  
Automation System ◽  
Home Automation ◽  
Technology Investment ◽  
Adaptive Architecture ◽  
Automation Systems ◽  
The Status ◽  
Home Automation System

Home automation systems are garnering increasing popularity and widespread use due to the relative ease of domestic management and comparatively high return on technology investment tied to its adoption. However, Nigeria and other emerging ICT economies are yet to fully actualize and maximize the inherent potential of these smart home technologies due to endemic challenges associated with poor infrastructure, erratic power supply and unreliable Internet connectivity. These challenges necessitate an innovative paradigmatic shift that could provide a pragmatic technological solution suitable to the context of Nigeria and other developing climes. For most smart home systems in this research context, the status quo is based on choosing whether the design would be for short- or long-range communication network. Short-range designs which are usually realized with Bluetooth technology suffer from limited range issues while poor connectivity, bandwidth and latency issues are some of the problems plaguing Wi-Fi-based long-range designs. Consequently, this research presents a hybrid adaptive architecture that combines desirable features of both short- and long-range modes. The proposed smart home system is based on using embedded systems which use mobile application to send messages to ESP8266 Wi-Fi module. Together with notifications received from the monitoring unit, these messages are parsed by Arduino's ATMEGA328 microcontroller from where instruction codes are sent for controlling the load by switching ON or OFF various relays connected to the load.

scholarly journals Finger Vein Biometric based Secure Access Control in Smart Home Automation

2019 ◽  
Vol 8 (6) ◽  
pp. 851-855
Keyword(s):  
Smart Home ◽  
Interconnection Network ◽  
Svm Classifier ◽  
Automation System ◽  
Home Automation ◽  
Finger Vein ◽  
Authentication Mechanism ◽  
Automation Systems ◽  
Home Automation System ◽  
And Control

Smart home automation has become popular with the advent of IoT technology. Smart home automation systems suffer from a number of security issues due to the vulnerabilities that exist in the different devices and the interconnection network. Providing user authentication for smart homes is an important security requirement for preventing intruders from attacking a smart home automation system. Biometric based authentication systems have been used in many applications since they provide high security than the smart cards and password based authentication systems. Finger vein recognition is a biometric authentication technique that applies pattern recognition on the images of human finger vein present beneath the skin's surface. The advantage of using finger vein authentication is that, it is difficult to forge and also provides high accuracy as the external deformities like rashes, cracks and rough epidermis do not have an impact on the matching and recognition process. This paper deals with the implementation of a secure smart home automation system that uses finger vein biometric for the authentication mechanism. The algorithm used for authentication uses K Means Segmentation and canny edge detection for feature extraction. SVM classifier is used for the matching process. The authentication system is then incorporated into the smart home automation system that can be used to monitor and control the devices connected to it. The proposed approach shows better performance than the existing methods used in literature for authentication, monitoring and control of smart home automation systems

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 Internet of Things Device Enabled Smart Home Integrated Architecture with Security Services

2021 ◽  
Vol 12 (6) ◽  
pp. 2614-2623
Author(s):  
J. Deepika, J. Gokulraj
Keyword(s):  
Smart Home ◽  
Internet Technology ◽  
Easy Access ◽  
Automation System ◽  
Home Automation ◽  
Sensors And Actuators ◽  
Security Services ◽  
Automation Systems ◽  
Home Automation System ◽  
Home Systems

The innovative internet technology of domestic automation applications is widely distributed. Home automation systems have become increasingly sophisticated by providing access to all people irrespective of time or place. Home automation devices, known as smart home systems, are supplied with wireless communication technologies via cell phones and microcontrollers for a remote control of wired non-computers at home. In this digital age, the home automation system was developed to target a broad range of applications for new digital consumers. Smart home systems with Internet connectivity of objects and security services, incorporation of intelligence into sensors and actuators, networking of intelligent elements that enable interactions between intelligent devices allow easy access at different locations, increased calculation power, storage capacity and efficient data sharing.

scholarly journals Smart Home: Security and Acuteness in Automation of IOT Sensors

2019 ◽  
Vol 9 (1) ◽  
pp. 3271-3274
Keyword(s):  
Smart Home ◽  
Irrigation System ◽  
Voltage Regulation ◽  
Automation System ◽  
Home Automation ◽  
Efficient Manner ◽  
Moisture Sensor ◽  
Speed Regulation ◽  
Automation Systems ◽  
Home Automation System

Smart home provides a well secured surroundings and a quality by utilizing the energy resources in an efficient manner. Looking at the worldwide energy crisis, home automation should be made common globally as aquintes sential element in overcoming loss of energy and using renewable resources. One of the basic problems in home automation is the amount of costit demands to get operated. Hence reducing the cost of automation is a factor to be concerned in the world. In this research study, an affordable home automation system based on Arduino microcontroller has been launched that operates with Modbus protocol. A Bluetooth module has been interfaced with Arduino, thus weeding out the deployment of desktops and laptops. The whole system has been tested and observed to run favourably and perform the desired functions like switching ON/OFF, speed regulation of fan, temperature control of AC and light acuteness management (Via Voltage Regulation). A computer-programmed app is designed in the proposedsetup which enables the operators to manage up to 20 devices incorporating various electrical appliances and sensors via Bluetooth technology. In the present world, a majority of home automation systems are designed for specific purposes while proposed system is built to fulfil typical objectives which can be operated in a home without much difficulty. The recommended apparatus exhibits more characteristics than the usual home automation systems as it incorporates an ultrasonic sensor and soil moisture sensor for water table detection and automatic plant irrigation system respectively. The recommended model of this automation system is applied and examined on gadgets and it produced desired results.

scholarly journals SMART HOME AUTOMATION AND SECURITY SYSTEM DESIGN BASED ON IOT APPLICATIONS

2019 ◽  
Vol 9 (2) ◽  
pp. 57-71
Author(s):  
Shameem Ahmad ◽  
Arghya Saha ◽  
Leong Wen Chek ◽  
Saad Mekhilef ◽  
Tariful Azam ◽  
...  
Keyword(s):  
User Interfaces ◽  
Smart Home ◽  
Security System ◽  
Raspberry Pi ◽  
Automation System ◽  
Home Automation ◽  
Automation Systems ◽  
Home Automation System ◽  
Key Enabling Technologies ◽  
Global And Local

Conventional Home Automation Systems lack many of the essential properties of home automation system, which are now easily accessible with modern technologies like IoT where every device is connected and can be controlled through internet. The proposed system presents a standard home automation system with all requirements an automation system has like – scalable, configurable, DIY and serves the most important function which is plug and play. Firstly, this paper discuss the merits and demerits of mainstream works on home automation system. Next, key enabling technologies – Cloud (Pubnub), Android Applications, WiFi Module (ESP 8266), Raspberry Pi have been discussed. User interfaces for web, pc and mobile devices are designed for this system. Also, algorithm has been constructed for connecting Wi-Fi/Bluetooth module with the system to control wirelessly. Smart home security system has been added by using PIR motion Sensor. Lastly, data have been measured from the different sensors and power consumption of the devices were calculated and showed on a graph. . Then, electricity bill consumption has been calculated and sent by sms to the user. Global and local accessing from web interface and Android Application to control devices and configurable feature (change as per require) makes the system a standard home automation framework

scholarly journals Voice Controlled Smart Home Automation System

2019 ◽  
Vol 8 (3) ◽  
pp. 4092-4093
Keyword(s):  
User Interface ◽  
Speech Recognition ◽  
Smart Home ◽  
Cost Effective ◽  
Automation System ◽  
Home Automation ◽  
Automation Systems ◽  
Home Automation System ◽  
The Cost ◽  
Electrical Appliance

The home automation is the future and important part of a house. The home automation is highly reliable in system for controlling house electrical appliances. As technologies improves the home automation system are becoming smarter and can regulate certain tasks automatically and autonomously. The home automation systems are cost effective and reduces the consumption of energy of household and cut the cost of electricity bills. In this paper a home automation system is discussed, the system controls the electrical appliance of house by using user interface device and speech recognition technology by using micro-controller device via a Bluetooth module and a mechanical relay acting as a switch for controlling electrical appliances.

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 with Intruder Detection and Energy Control

2021 ◽  
Vol 9 (VI) ◽  
pp. 3473-3480
Author(s):  
M. Niharika
Keyword(s):  
Light Intensity ◽  
Smart Home ◽  
Security System ◽  
Automation System ◽  
Home Automation ◽  
Energy Control ◽  
Intruder Detection ◽  
Alert Message ◽  
Home Automation System

In previous project we made a home automation system, where we can control our appliances through Blynk app and Google assistant with the help of IFTTT. As an extension we will provide feedback to user whether the appliance is on or off. We will also use sensors like LDR for measuring light intensity in this project to make it smart. We will also include security system where in we have sensors to doors and windows and give buzzer along with an alert message to the user. On a whole we will provide a smart home automation system.

scholarly journals Smart Home Environment Future Challenges and Issues - A Survey

2021 ◽  
Vol 3 (1) ◽  
pp. 1-8
Author(s):  
Sathesh ◽  
Yasir Babiker Hamdan
Keyword(s):  
Energy Management ◽  
Home Environment ◽  
Smart Home ◽  
Automation System ◽  
Home Automation ◽  
Negative Effects ◽  
Research Article ◽  
Home Energy Management ◽  
Smart Home Environment ◽  
Home Automation System

The smart home automation is that the exploitation internet enabled devices remotely and mechanically management appliances such as lighting, heating system and security measures in and around your home. This papers talks about relative emission effects in Home Energy Management. Also the result outcome is that consumption of the electricity will be reduced towards green environment. Moreover, the research paper is considering the analysis of calculate the negative effects in environment due to full home automation system. While calculating these negative effects, the Life Cycle Assessment (LCA) should be in sum total. This study uses to analysis the electricity consumption for environment impact of Home Energy Management system (HEMs). The research article discusses home automation system consumes the energy for different devices connected for smart home. The maximum energy consumption in smart home network is smart plugs due to an uninterrupted supply. Therefore this research article comprises about home automation energy management that shows the balance energy consumption between the devices in a regular interval. Also this research article provides a future challenge tasks in security issues in smart home environment. Also the perception for smart home environment focuses the Interoperability, Reliability, Integration of smart homes and term privacy in context, term security and privacy vulnerabilities to smart home.

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