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 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 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

Designing of smart home automation system based on Raspberry Pi

2016 ◽  
Author(s):  
Ravi Prakash Saini ◽  
Bhanu Pratap Singh ◽  
Mahesh Kumar Sharma ◽  
Nattapol Wattanawisuth ◽  
Nopbhorn Leeprechanon
Keyword(s):  
Smart Home ◽  
Raspberry Pi ◽  
Automation System ◽  
Home Automation ◽  
Home Automation System

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 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 A Smart Home Automation system using IoT and Open Source Hardware

2018 ◽  
Vol 7 (2.7) ◽  
pp. 428 ◽  
Author(s):  
B S.S. Tejesh ◽  
S Neeraja
Keyword(s):  
Home Environment ◽  
Smart Home ◽  
Raspberry Pi ◽  
Automation System ◽  
Home Automation ◽  
Smart Systems ◽  
Electrical Devices ◽  
Sensor Current ◽  
Home Automation System ◽  
Open Source Hardware

In the era of Internet of Things, the information will be exchanged without the intervention of human. The manual systems are transforming into smart systems with the incorporation of IoT. The remote superintendence of electrical devices and sensors in the home environment with the employment of the internet is called as home automation. The electrical devices like bulb, fan and the sensors like temperature sensor, gas sensor, flame sensor, PIR sensor, current sensor are monitored and controlled by the user remotely with the employment of IoT technology. The implemented system, has both the transmitter and receiver section. In the transmitter section the information from room 1 and room 2 will be gathered at the central server. The Arduino Uno and ESP8266 plays a significant role in the transmitter section. The Raspberry Pi central server facilitates the gathered information to the user in a Graphical user interface. 

scholarly journals An Intelligent, Secure, and Smart Home Automation System

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Rizwan Majeed ◽  
Nurul Azma Abdullah ◽  
Imran Ashraf ◽  
Yousaf Bin Zikria ◽  
Muhammad Faheem Mushtaq ◽  
...  
Keyword(s):  
Decision Making ◽  
Smart Home ◽  
Raspberry Pi ◽  
Automation System ◽  
Home Automation ◽  
Intelligent Decision Making ◽  
Blockchain Technology ◽  
Intelligent Decision ◽  
Home Automation System ◽  
Iot Devices

The idea of a smart home is getting attention for the last few years. The key challenges in a smart home are intelligent decision making, secure identification, and authentication of the IoT devices, continuous connectivity, data security, and privacy issues. The existing systems are targeting one or two of these issues whereas a smart home automation system that is not only secure but also has intelligent decision making and analytical abilities is the need of time. In this paper, we present a novel idea of a smart home that uses a machine learning algorithm (Support Vector Machine) for intelligent decision making and also uses blockchain technology to ensure identification and authentication of the IoT devices. Emerging blockchain technology plays a vital role by providing a reliable, secure, and decentralized mechanism for identification and authentication of the IoT devices used in the proposed home automation system. Moreover, the SVM classifier is applied to classify the status of devices used in the proposed smart home automation system into one of the two categories, i.e., “ON” and “OFF.” This system is based on Raspberry Pi, 5 V relay circuit, and some sensors. A mobile application is developed using the Android platform. Raspberry Pi acting as the server maintains the database of each appliance. The HTTP web interface and apache server are used for communication among the Android app and Raspberry Pi. The proposed idea is tested in the lab and real life to validate its effectiveness and usefulness. It is also ensured that the hardware and technology used in the proposed idea are cheap, easily available, and replicable. The experimental results highlight its significance and validate the proof of the concept.

scholarly journals Home Automation Using Chatbot and Voice Assistant

2020 ◽  
Vol 32 ◽  
pp. 01002
Author(s):  
Bhavyasri Kadali ◽  
Neha Prasad ◽  
Pranaya Kudav ◽  
Manoj Deshpande
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Raspberry Pi ◽  
Automation System ◽  
Home Automation ◽  
Voice Input ◽  
Text Input ◽  
Automation Systems ◽  
Home Automation System

In a world with ever increasing needs for comfort, human race is relying more and more on technological advancements to find solutions to their problems. Home Automation Systems have become a go-to arena in the recent years. In the following paper, we propose a Home Automation system that uses a wholesome blending of some technologies like Internet of Things, Natural Language Processing and Machine Learning. The prime feature of this system is that, it provides two modes of communication to the user : Text and Voice. The text input from the user will be given via a Chatbot Application and the voice input from the user will be given via a voice assistant. The input will undergo Natural Language Processing to find the action that the user wants the system to perform. The IoT component, Raspberry Pi would perform the actuations in the form of switching On or Off of Lights and Fans of a room in the house.

Sign in / Sign up

Export Citation Format

Share Document