Home Automation Technologies Research Articles

Modelling and Simulation of a Budget-Friendly, Secured and Intelligent Home Automation System Using Internet of Things for the Aged and Disabled

Intelligent Home Automation System is one of the subjects that is gaining traction and popularity due to its numerous benefits across the globe today. Home automation is the process of remotely monitoring and controlling household appliances and devices. With the Internet's and its applications' never-ending growth, there is a lot of promise and scope for remote access, control, and monitoring of network-enabled appliances and devices. This paper developed an easy-to-use, secured and intelligent home automation system; capable of remotely monitoring and controlling appliances in the home, by integrating it with an affordable, flexible, versatile, open-sourced, single-board microprocessor and yet scalable Arduino Uno. The work was carried out in the following stages; First, the Arduino Uno was set up with Bluetooth and Wi-Fi connections, and Android device interfacing. Secondly, upon successful connection and configurations, the system successfully worked with the home model developed. Lastly, a unique yet simple user interface was created using the Android MIT App inventor, thereby completing the system design. The intelligent home automation system was fully simulated given the above steps, ensuring that everyday use of home appliances is monitored and controlled for a more secure, seamless and intuitive user experience. The paper also examined a number of intelligent home automation systems and technologies from a variety of defined perspectives. It focused on the home automation idea, in which smart devices are used to integrate home automation systems and technologies with a central single-board – microprocessor (Arduino Uno); Life is becoming simpler and easier in all aspects due to advancements in automation technologies, particularly in homes and working environments.

Enhancing Home Automation with ESP Rain Maker and ESP32

The synergy between ESP RainMaker and the ESP32 microcontroller marks a pivotal advancement in home automation technology, promising not just enhanced convenience but also profound improvements in energy efficiency and overall quality of life. Developed by Espressif Systems, ESP RainMaker provides a robust framework for integrating and managing a wide array of smart home devices seamlessly. With the ESP32's dual- core processing prowess, low power consumption, and versatile connectivity options, the platform empowers users to automate and optimize their home environments with unprecedented ease and efficiency. This integration facilitates intelligent control over lighting, climate, security systems, and more, ensuring not only significant energy savings but also personalized comfort tailored to individual preferences. Moreover, by leveraging advanced technologies such as machine learning and IoT, ESP RainMaker opens doors to predictive maintenance, adaptive learning, and sophisticated user interactions, thereby shaping a future where homes are not just automated but intuitively responsive to their occupants' needs. In summary, ESP RainMaker and the ESP32 microcontroller exemplify the next frontier in smart living, where innovation converges with practicality to redefine how we interact with and experience our living spaces.

Business Resources for the Implementation of Home Automation Technology in Homes in Residential Areas

The objective of this study is to determine the business resources necessary for the implementation of Home Automation Technology in homes. Descriptive research, non-experimental, transectional or cross-sectional field design, the sample was six companies in the residential housing construction sector of the department of Cesar, the data collection technique was the survey, the instrument was the questionnaire with options Likert type response. There is a lack of human resources with sufficient knowledge of the subject, there are few people who have technical training in this type of technology, which is well accepted in the builders' union and who are willing to implement it in medium-term projects. As for other resources such as physical, financial and technological resources, these finally have a moderate level of acceptance and availability according to the results obtained. The relevance consists of continuing to consolidate the implementation of technological innovations in terms of tending to integrate construction companies in the region with the research centers of educational institutions and universities.

Elements of Home Automation Technology For Housing Development Middle Stratum

Objective: The objective of this study is to identify the elements to develop home automation technology in middle-income homes. Theoretical Framework: Home automation applies to systems and devices that provide some level of automation within the house, ranging from a simple timer to turn a light or device on and off at a specific time, to the most complex systems capable of interacting with any electrical element in the home. Method: Descriptive research, non-experimental, transectional or cross-sectional field design, the sample was six companies in the residential housing construction sector in the middle stratum of the department of Atlántico, the data collection technique was the survey, the instrument was the questionnaire with Likert type response option. Results and Discussion: It was evident that the benefits of the elements of the home automation system to the owners or tenants of the homes are known, however, a medium segment of the subjects surveyed knows the benefits that these elements provide to the builders and They are clear in recognizing that they currently do not implement home automation technology elements in the homes they build. Implications of the Research: Home automation is therefore one that integrates a set of automatisms in electricity, electronics, robotics, computing and telecommunications, with the aim of ensuring the user an increase in comfort, security, energy savings, communication facilities and entertainment possibilities. Originality/Value: The relevance consists of continuing to consolidate the implementation of technological innovations in terms of the use of sensors, actuators, system elements and display elements, but not in isolation but with the home automation system as such.

GSM-Enabled Home Automation and Security System: A Comprehensive Investigation and Implementation

This research project focused on integrating home control and security through advanced Home Automation Systems. A thorough analysis and practical implementation of home automation technology were conducted, utilizing Global System for Mobile Communication (GSM) modems to manage various home appliances, including fans, air conditioning systems, and security systems. The system relied on Short Message Service (SMS) text messages for control and monitoring. Key features included an entrance security mechanism to promptly notify homeowners of unauthorized access, bolstering overall security. Additionally, an anti-theft reporting system employed alarms and SMS notifications to inform owners of security breaches. The system also integrated safety protocols for fire or gas leakage, dispatching SMS notifications and activating alarms to alert homeowners. The use of GSM technology provided wireless access to control connected devices, enhancing system efficiency and convenience. This research contributed to the smart home technologies field by presenting an advanced system that harmonized automation, security, and safety, with potential applications across diverse residential settings. While numerous home automation systems were available in the market, the significance of the proposed home automation system lay in its advanced features and comprehensive approach to integrating control and security functions. Unlike many existing systems, which may have offered basic automation capabilities, the proposed system went beyond simple automation by seamlessly integrating security measures using GSM technology. This allowed homeowners to effectively manage a wide range of home appliances, including fans, air conditioning systems, and security systems, all through the convenience of SMS text messages. Key features of the proposed system, such as the entrance security mechanism and anti-theft reporting system, addressed critical security concerns and provided homeowners with real-time notifications of unauthorized access or security breaches. Additionally, the integration of safety protocols for fire or gas leakage further enhanced the system's utility and value by prioritizing homeowner safety. Moreover, the utilization of GSM technology offered wireless access to control connected devices, significantly enhancing system efficiency and convenience compared to traditional wired systems. This wireless connectivity ensured that homeowners could remotely monitor and control their home environment from anywhere, at any time, providing them with peace of mind and control over their living space. Overall, the proposed home automation system represented a significant advancement in the field of smart home technologies by offering a comprehensive solution that harmonized automation, security, and safety. Its potential applications across diverse residential settings underscored its importance and relevance in meeting the evolving needs of modern homeowners. Index Terms: Short Message Service (SMS), GSM modems, Safety protocols, Gas leakage detection.

Integration of Smart Home and Building Automation Systems in Virtual Reality and Robotics-Based Technological Environment for Neurorehabilitation: A Pilot Study Protocol.

Technological innovation has revolutionized healthcare, particularly in neurological rehabilitation, where it has been used to address chronic conditions. Smart home and building automation (SH&BA) technologies offer promising solutions for managing chronic disabilities associated with such conditions. This single group, pre-post longitudinal pilot study, part of the H2020 HosmartAI project, aims to explore the integration of smart home technologies into neurorehabilitation. Eighty subjects will be enrolled from IRCCS San Camillo Hospital (Venice, Italy) and will receive rehabilitation treatment through virtual reality (VR) and robotics devices for 15 h per day, 5 days a week for 3 weeks in the HosmartAI Room (HR), equipped with SH&BA devices measuring the environment. The study seeks to optimize patient outcomes and refine rehabilitation practices. Findings will be disseminated through peer-reviewed publications and scientific meetings, contributing to advancements in neurological rehabilitation and guiding future research.

The Importance of AI-Enabled Internet of everything Services for Smart Home Management

Abstract Smart home applications are ubiquitous and have become popular because of the overwhelming use of the Internet of Things (IoT) and artificial intelligence (AI). Living smart with automation and integrated AI-IoT has become more affordable as home automation technologies have matured. In addition, the Internet of Everything (IoE), which involves the interconnection of humans, businesses, and intelligent objects, has the potential to reshape various industries. However, the rising energy cost and demand have led numerous organizations to determine smart ways to monitor, control, and save energy. Hence, this study suggests AI-Enabled Internet of Everything Services (AI-IoES) for efficient smart home energy management. The data have been taken from the Open Smart Home IoT//Energy Dataset for analyzing the energy consumption of home appliances. This paper presents an IoT sensor for energy management to track and control specific loads in smart homes. The deep neural network (DNN) is built for secure demand-side management (DSM) in an IoT-assisted smart grid and trained on the extracted feature from electricity consumption information gathered using an IoT sensor. The system is established with real-time monitoring and a user interface for remote control and access. The experimental outcome demonstrates that the suggested AI-IoES system increases the user experience by 98.9%, energy efficiency ratio (EER) by 97.8%, and accuracy ratio by 97.2%, and reduces energy consumption by 19.2% compared with other existing methods.

Voice Activated Lamp using Arduino

In the realm of smart home automation, this project introduces a Voice-Controlled Lamp System utilizing Arduino Nano, a Bluetooth module, and a single-channel relay. The system enables remote lamp control through a dedicated mobile application, leveraging natural language voice commands for intuitive interaction. By integrating cutting-edge hardware and software components, the project aims to enhance user experience, convenience, and accessibility in home environments. Through rigorous testing and validation, the Voice-Controlled Lamp System demonstrates the potential of Arduino-based solutions in crafting user-friendly and efficient smart devices, contributing to the evolution of modern home automation technologies. This project presents the development of a Voice-Controlled Lamp System, utilizing Arduino Nano, a Bluetooth module, and a single-channel relay. The system offers users the ability to remotely control the lamp through a mobile application, employing natural language voice commands for seamless interaction. By integrating state-of-the-art hardware and software components, the project addresses the growing demand for intuitive and hands-free home automation solutions. Through extensive testing and validation, the Voice-Controlled Lamp System showcases the efficacy of Arduino-based technologies in creating innovative and user- centric devices for modern living environments.

Implementation of Bluetooth Enabled Home Automation System

Home automation is becoming more and more popular as a concept because it increases productivity by lowering human oversight and labor. Home automation systems allow us to operate a variety of gadgets, including air conditioners, TVs, fans, lights, and more. Furthermore, additional functions like emergency systems, security, alarms, etc. may be incorporated into home automation systems. There are numerous varieties of home automation technologies, including those that are controlled via Bluetooth, the Internet, RF, infrared, and other remotes. Each type comes with its own benefits and drawbacks. For this research, we have programmed and constructed a Bluetooth-controlled home automation device using a Bluetooth-enabled Android phone. The designed device is able to switch enabled home appliances within a 100-meter radius of the phone.

Design and Development of Clap Based Switch Regulator in Relation to Smart Home Applications

The clap-based regulator proves an important role or invention in today’s day to day life for industries and home automation technology, contribute the wireless or automated approach to control the home, school and industries automations and appliances. By using sound recognition technique, the system provides signal to the ac and dc appliances with the help of Arduino which control the relay circuit. This invention provides a lot of benefits for environment as well. Moreover, through this innovation the project helps in energy preservation and encourage urban growth and progress. In this Project we associated an Artificial intelligence-based sound module which stimulates the lights in the home based on the threshold value of Clap and then off the lights based on consecutive clap sound.

Smart Home Automation

Home automation, fueled by advancements in technology, has evolved into a transformative paradigm, reshaping the way we interact with and manage our living spaces. This paper explores the multifaceted landscape of home automation, investigating the integration of smart devices, sensors, and intelligent control systems to create residences that are not only interconnected but also adaptive and responsive to the needs of their occupants. With a focus on enhancing convenience, energy efficiency, and security, home automation technologies offer innovative solutions for everyday tasks. This abstract delves into the fundamental components of home automation, examining the integration of Internet of Things (IoT) devices, artificial intelligence, and user interfaces. It also explores the challenges and considerations associated with widespread adoption, including issues of privacy, interoperability, and standardization. As the field continues to evolve, this research contributes insights into the current state of home automation, its impact on daily living, and the potential for future development in creating intelligent, user-centric living environments.

Multi-Criteria Decision-Making for Energy Management in Smart Homes Using Hybridized Neuro-Fuzzy Approach

The necessity for smart energy oversight solutions has arisen in response to the rising popularity of energy-efficient home automation and other energy-saving technologies. Optimizing smart home energy use using multi-criteria decision-making (MCDM) is a proven methodology. However, the procedure for making decisions and MCDM’s capacity to handle various criteria are typically limiting factors. Hybrid methods, which integrate multiple decision-making approaches like Fuzzy Logic (FL) and Modular Neural Networks (MNN), could potentially be able to circumvent these restrictions and boost energy management systems’ efficacy and precision. This investigation presents a hybrid Neuro-Fuzzy (H-NF) method for MCDM in regulating energy for smart homes by combining FL with an MNN. The suggested approach would optimize energy use in smart homes by considering several parameters, notably cost, ease of use, and environmental effects. In addition, this study aims to examine how the H-NF model fares in comparison to other methods of making important decisions in terms of several performance metrics. The suggested hybridized approach has the potential to deliver more precise and effective decision-making processes for energy management in smart homes, allowing users to optimize their energy consumption while preserving comfort and lowering environmental impact.

Classifying the Main Technology Clusters and Assignees of Home Automation Networks Using Patent Classifications

Home automation technologies are a vital part of humanity, as they provide convenience in otherwise mundane and repetitive tasks. In recent years, given the development of the Internet of Things (IoT) and artificial intelligence (AI) sectors, these technologies have seen a tremendous rise, both in the methodologies utilized and in their industrial impact. Hence, many organizations and companies are securing commercial rights by patenting such technologies. In this study, we employ an analysis of 8482 home automation patents from the United States Patent and Trademark Office (USPTO) to extract thematic clusters and distinguish those that drive the market and those that have declined over the course of time. Moreover, we identify prevalent competitors per cluster and analyze the results under the spectrum of their market impact and objectives. The key findings indicate that home automation networks encompass a variety of technological areas and organizations with diverse interests.

The Acceptance of Smart Home Technologies

The advancement of home automation technologies allowed the integration of systems for smart home implementation in the civil construction sector. However, the smart home's dissemination depends on factors that can enhance or hinder users' acceptance of smart home technologies. The article aims to identify the benefits and barriers users perceive that can interfere with implementing smart home technologies. The methodology utilized a systematic literature review using 122 articles in journals indexed in Scopus, Web of Science, Science Direct, IEEE, and Scielo scientific databases to gather barriers and benefits to smart home implementation. The literature mentions the benefits in the environmental, financial, and psychological categories as the main factors that potentiate the dissemination of smart home technologies. On the other hand, the barriers classified into the technological, ethical, and human categories have the major effect of hindering smart home implementation.

Smart Remote Controlling System of Home Appliances

The device's control features combine cloud-based and wireless home automation technologies. This prototype, which cost less than $30,000 to build, does away with the need to pay for SMS service or to manage the server and database architecture because all that is required is an internet connection and a Cloud-service. The security for granting the approved access to users looking to manage and operate their home appliances remotely is ensured. This might persuade users to install the system in their homes and places of business. The cloud service used in the develop-ment of this system is the Google Firebase, which acts as an web server for storing and processing the data sent by the user through their mobile phone. In-order to automatically obtain data from the Firebase real-time database and give the control signals required for tripping the load and the NodeMCU board connects to the wireless system and subsequently to that of the internet.

Reducing electricity peak loads through ‘pause hours’ - a community-based behavioural demand response approach

Households can provide demand-side flexibility by changing their consumption behaviour and shifting energy-intensive activities – such as vacuuming, cooking or charging electric cars – to off-peak hours. Such behaviour-based demand response management could balance out consumption peaks without the need for costly smart home devices or automation technologies. However, existing research has struggled to motivate consumers to adapt their behaviour or maintain behaviour change over extended periods of time. This field study explored a scalable and cost-effective behavioural demand response tool and investigated its short- and long-term impacts on average and peak hour electricity consumption under realistic conditions: A smartphone app provided users with social comparison feedback on their electricity consumption and invited them to participate in “pause hours” by avoiding energy-intensive activities during peak hours. To appeal even to hard-to-reach energy users and elicit longer-term engagement, the app also contained a neighbourhood newsfeed and was framed as a local social network. In a 15-month trial with 550 student apartments in Sweden, more than half of the residents voluntarily installed the app, many app users stayed engaged over an extended period of time and pause hour participants achieved substantial peak-load consumption reductions of 46% on average. These results indicate that smartphone apps can achieve peak load consumption reduction and long-term engagement, although they may be particularly attractive to already energy efficient households. Avenues for future research are discussed.

Smart home automation technology to support caring of individuals with Alzheimer’s disease and related dementia: an early intervention framework

Purpose Home automation technology comprising of Internet of Things and Smart gadgets is a rapidly growing industry that is projected to have a major scope for ageing-in-place and caregiving. This study examined the feasibility and cost-benefits of a personalized home automation intervention for care of individuals with Alzheimer’s disease and related dementia (ADRD) with emphasis on their safety and independence, and reduction of care burden. Methods A mixed method intervention study was conducted with five dyads each comprising of a caregiver and care recipient with ADRD. Each dyad received personalized home automation intervention with individualized goals centred on home safety, activity engagement, and caregiver-recipient connectivity. The goals were created and monitored using goal attainment scaling (GAS). The dyads were followed up after three months with a home visit and interview. Goal attainment scoring and thematic analysis of the interviews were conducted to examine the findings from the study. Results All dyads indicated positive goal attainment between pre and post intervention. Goals that were met were complimented by the categories of peace of mind, self-efficacy, and care recipient engagement, while unmet goals as well as complexities with the technology were elucidated under challenges. Overarching and conceptually linked themes from the study were unfamiliarity, value, and timing. Conclusion Home automation technology has the potential to be adapted to promote independence and safety of individuals with ADRD while relieving care burden. Nonetheless, we propose an early intervention framework to overcome identified challenges and optimize the technology’s usability and sustainability. IMPLICATIONS FOR REHABILITATION Home automation involving Internet of Things and Smart gadgets has gained rapid popularity owing to the comfort and connectivity they provide to mainstream consumers. The technology has an emerging significance to ageing-in-place and care of individuals with Alzheimer’s Disease and Related Dementia (ADRD) as it can be adapted and implemented to enhance home safety and activity engagement of the care recipients while also strengthening their connectivity with the caregivers. Unfamiliarity with the technology compounded by the progression of ADRD can, however, be detrimental to its adoption. Individualized focus and early integration of the technology for caregiver-care recipient dyads can mitigate these challenges and optimize its usability and long-term value in relation to ageing-in-place and caregiver wellbeing.

A qualitative study on the needs of visually impaired users in Brazil for smart home interactive technologies

ABSTRACT Assistive technologies have allowed people with disabilities to perform daily tasks with greater independence and autonomy, especially for visually impaired people. Using smart home solutions allows these users to control their homes with less cognitive and physical demand. However, making such applications accessible to meet the needs of visually impaired users, especially in developing countries, remains a challenge. This paper investigates the perceptions of these users about home automation technologies through semi-structured interviews. A total of 20 visually impaired people participated in the interviews. A thematic analysis revealed results concerning the following themes: (1) how people go about their lives at home and around, how people interact with current appliances, objects and environments, (3) how people perceive their attitude to technologies, (4) the Brazilian context of smart homes, (5) what people think smart homes should do and (6) envisaging ways of interacting with smart home systems. The results obtained provide significant insight into the needs of visually-impaired people in Brazil, with analysis of issues that are common with previous studies in more developed countries and specific issues that have important particularities and implications in Brazil and other developing countries.

Design and Implementation a Cloud Computing System for Smart Home Automation

This work providing a smart home concept, teach intelligent home techniques and smart grid appearance. The main applications of various home automation technologies and future improvements, as well as the different concept of energy conservation in the field of smart home. The proposed system integrates many functions and automation devices for many home applications in one application and this is easy to use for monitoring and control from the user using a computer or smartphone via the Internet. The sensors used in this work are: Temperature sensor: to provide an indication of the temperature and to know the customer if necessary to turn the air conditioning on or off, manually or automatically resulting in reduced energy consumption. Humidity Sensor Used to provide an indicator of humidity in garden watering by turning off or turning on the water valve, which can be set manually or automatically to save water at a high level and also protect garden plants from thirst or excessive water. Motion sensor: to control the outside and inside home lighting by ON OFF the light only if the human is detected, this done by using special algorithm. The gain in energy keeping is high percentage. The motion sensor was used to control the movement and recording of the camera by ON OFF, while detecting human movement only, and this is done using a special algorithm. This process facilitates monitoring and reduces the storage process for cameras only when needed. All these procedures of the proposed smart home system are combined with the Internet of Things (IoT), Webbing and Clouding through sensors and actuators controlling the home appliances by using Raspberry-Bi 3B+ platform. Sharing the data and networking smart sensors by using Wi-Fi technology. The Cloud computing services used to facilitate interactions process with smart devices. Moreover, Cisco Packet Tracer program used to simulate all the above process.

Applications and Recent Development of DTMF Based Technology in Home Automation

Recent technological advancements have made things in an efficient manner. This paper presents the overall design of Dual-tone multi-frequency (DTMF) signaling with little cost and establishes a new pattern for home automation developments. The benefits of a DTMF system is that it may be controlled remotely from afar, effectively saves energy, minimizes human stress. One of the most developing trends in home appliance control innovation is DTMF-based home automation technology using Arduino. In order to make this project work, an Arduino Uno was used. This is primarily about the ATmega328 microcontroller (MCU). It comprises of 14 digital output/input pins, analogue inputs of about 6 ports, a USB port for programming the onboard microcontroller, an ICSP header, a power jack, and a reset button. DTMF can be realized using numerous approaches for example, Discrete Fourier Transform (DFT), and Genetic Algorithm (GA). These techniques are generally analyzed using MATLAB, GUI, and FPGAs. DFT procedure has the shortcoming of power overwhelming and necessitates supplementary hardware. The system design in this project work was implemented with C++ programming languages on the Arduino IDE software. The circuit diagrams were modeled using the use of Proteus software.