scholarly journals Towards Energy Efficient Home Automation: A Deep Learning Approach

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7187
Author(s):  
Murad Khan ◽  
Junho Seo ◽  
Dongkyun Kim
Keyword(s):  
Deep Learning ◽  
Smart Home ◽  
Automation System ◽  
Home Automation ◽  
Home Appliances ◽  
Energy Demands ◽  
Automation Systems ◽  
Smart Home Appliances ◽  
Home Users ◽  
Operational Time

Home Automation Systems (HAS) attracted much attention during the last decade due to the developments in new wireless technologies, such as Bluetooth 4.0, 5G, WiFi 6, etc. In order to enable automation as a service in smart homes, a number of challenges must be addressed, such as fulfilling the electrical energy demands, scheduling the operational time of appliances, applying machine learning models in real-time, optimal human appliances interaction, etc. In order to address the aforementioned challenges and control the wastage of energy due to the lifestyle of the home users, we propose a system for automatically controlling the energy consumption by employing machine and deep learning techniques to smart home networks. The proposed system works in three phases, (1) feature extraction and classification based on 1-dimensional Deep Convolutional Neural Network (1D-DCNN) which extract important energy patterns from the historic energy data, (2) a load forecasting system based on Long-short Term Memory (LSTM) is proposed to forecast the load based on the extracted features in phase 1 and (3) a scheduling algorithm based on the forecasted data obtained from phase 2 is designed to schedule the operational time of smart home appliances. The proposed scheme efficiently automates the smart home appliances to consume less energy while adapting to the lifestyle of smart home users. The validation of the proposed scheme is tested with a number of simulation scenarios incorporating datasets from authentic data sources. The simulation results show that the proposed smart home automation system can be a game-changer in fulfilling the energy demands of the home users without installing renewable and other energy sources in the future.

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 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 Smart Home Automation System

2020 ◽  
Vol 2 (5) ◽  
pp. 222-229
Author(s):  
Mr. Bhandarkavthe S. S ◽  
Mr. Desai P. B
Keyword(s):  
Credit Card ◽  
Smart Home ◽  
New Technologies ◽  
Raspberry Pi ◽  
Automation System ◽  
Home Automation ◽  
Exciting Field ◽  
Serial Interface ◽  
Home Appliances ◽  
Home Automation System

This paper proposes the design of Inter of Things (IoT) based home automation system using Raspberry pi. Currently in day today’s life we can hardly find a house without a home automation system. 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 (IoT). 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 controlling number of home appliances simultaneously. Here local server is created on Raspberry pi. User required to use different mobile devices like smart phones, Laptops, Tablets to operate the home appliances with the help of UI created on web page.

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 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 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 Towards the Development of Smart Cities

2020 ◽  
Vol 5 (1) ◽  
pp. 13-20
Author(s):  
Tanweer Alam ◽  
Abdulrahman A. Salem ◽  
Ahmad O. Alsharif ◽  
Abdulaziz M. Alhejaili
Keyword(s):  
Mobile Application ◽  
Intelligent Systems ◽  
Smart Home ◽  
Smart Cities ◽  
Smart Device ◽  
Automation System ◽  
Home Automation ◽  
Home Appliances ◽  
Home Automation System

Home automation system is a system that controls by the smart device using a mobile application. It can control home appliances such as light, fans, air conditions, and smart security locks, etc. Bluetooth or Wi-Fi technology will be used to control things remotely.  Many people were thinking about that technology is taking a really huge part of our lives. It does! we’re living in a modern generation where smart and intelligent systems are necessary to be there wherever we are to make our lives easier and much better, for example, we can do many things faster, better, and more accurate.

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