Figure 14 - available via license: Creative Commons Attribution 4.0 International
Content may be subject to copyright.
Source publication
This paper presents a low cost, flexible and scalable Smart Home Automation System based on Arduino Technology and Wi-Fi connection, in addition to apply specific techniques for reduction of power consumption and load management. The system will be accessible anywhere, anytime for controlling and monitoring. This study relies on Arduino Technology...
Citations
... Studying smart home technology can position individuals for future success in the employment market. The interdisciplinary nature of smart home and IoT combines computer science, electrical engineering, data analysis, user experience design, and cybersecurity [5]. Studying smart homes offers practical applications in improving convenience, comfort, security, and energy efficiency. ...
The paper focuses on the security and privacy concerns of Internet of Things (IoT)-based smart homes, which have numerous advantages but also raise significant security and privacy concerns. These concerns stem from the sensitivity of the data collected, the heterogeneity of application components, dynamic communication patterns, and limited resources. The study aims to increase knowledge, keep pace with development, and contribute to solving these problems by studying research, studies, articles, and references that address these concerns. The methodology of this study consists of three stages: systematic review of relevant studies, designing an evaluation model for security solutions, and proposing a security solution that addresses these concerns. The third phase proposes a security solution that consists of security tools, protocols, and procedures in a multi-layered architecture implemented in the middleware operating environment. This solution offers advantages that are missing from many other solutions proposed in previous studies, such as interoperability and scalability. The study aims to contribute to the development of integrated solutions to address these security and privacy concerns in smart home applications based on the Internet of Things.
... Smart home offers features to monitor the environment using sensors (Noviansyah & Aiyar, 2019) such as temperature, humidity, gas concentration, smoke and others. Smart homes combine information and communication technologies to control and automate various aspects of the home, including controlling household appliances (Zaro et al., 2021;Zode et al., 2023). The smart home application controls home electronic devices using a smartphone that can be controlled remotely (Ruuhwan et al., 2019). ...
Photovoltaic is a technology that functions to convert solar energy into electrical energy directly. The smart home system for controlling household appliances with Photovoltaic technology is a concept that integrates renewable technology and artificial intelligence to increase the efficiency and sustainability of energy use in households. By using the ESP32 microcontroller as the main control system to monitor and regulate power usage based on the availability of solar energy. The system starts by checking the solar voltage, if it is providing enough power to household appliances. If the solar voltage is insufficient the system will turn off non-essential equipment or reduce power consumption. Users can control the system via smartphone to activate household appliances as needed. The system uses an inverter to convert the DC voltage from the solar panels into the AC voltage required by household appliances. This research combines Photovoltaic and IoT technology in a Smart Home that can increase energy efficiency and support environmental conservation efforts. Research can make a positive contribution to the development of sustainable energy solutions for modern households.
... Smart home automation systems benefit from quick responsiveness, precise accuracy, and easy-to-use voice command capabilities, improving efficiency, comfort, and accessibility [35]. Dbritto et al. [38] and Zaro et al. [39] examined the utilization of Wi-Fi and mobile applications for the purpose of control and monitoring. Zaro et al. [39] also highlighted explicitly the use of Arduino technology to achieve cost-effectiveness. ...
... Dbritto et al. [38] and Zaro et al. [39] examined the utilization of Wi-Fi and mobile applications for the purpose of control and monitoring. Zaro et al. [39] also highlighted explicitly the use of Arduino technology to achieve cost-effectiveness. ...
With the rapid rise of digitalization in the global economy, home security systems have become increasingly important for personal comfort and property protection. The collaboration between humans, the Internet of Things (IoT), and smart homes can be highly efficient. Interaction considers convenience, efficiency, security, responsiveness, and automation. This study aims to develop and assess IoT-based home security systems utilizing passive infrared (PIR) sensors to improve user interface, security, and automation controls using voice commands and buttons across different communication protocols. The proposed system incorporates controls for lighting and intrusion monitoring, as well as assessing both the functionality of voice commands and the precision of intruder detection via the PIR sensors. Intelligent light control and PIR intruder detection with a variable delay time for response detection are unified into the research methodology. The test outcomes examine the average effective response time in-depth, revealing performance distinctions among wireless fidelity (Wi-Fi) and fourth- and fifth-generation mobile connections. The outcomes illustrate the reliability of voice-activated light control via Google Assistant, with response accuracy rates of 83 percent for Thai voice commands and 91.50 percent for English voice commands. Moreover, the Blynk mobile application provided exceptional precision regarding operating light-button commands. The PIR motion detectors have a one hundred percent detection accuracy, and a 2.5 s delay is advised for PIR detection. Extended PIR detection delays result in prolonged system response times. This study examines the intricacies of response times across various environmental conditions, considering different degrees of mobile communication quality. This study ultimately advances the field by developing an IoT system prepared for efficient integration into everyday life, holding the potential to provide improved convenience, time-saving effectiveness, cost-efficiency, and enhanced home security protocols.
... A person can ensure total security of their home because of the home automation system and can control their home from anywhere from controlling the switches to watering the plants whenever required. The system has been tested and evaluated successfully and it has shown a great responsibility toward ensuring safety and improving energy efficiency [14]- [16]. Sensors work automatically and remotely like adjusting the temperature for a normal body and switching ON/OFF lights and fan accordingly to the availability of the person. ...
... In our model, we used Node MCU to connect various sensors like DHT 22 sensor, ultrasonic sensor, LDR sensor, PIR sensor, and Relay. We are also connecting it with the Blynk application for controlling the sensors with the help of an inbuilt Wi-Fi module (ESP8266) present in Node MCU [14]. ...
... Their system included temperature management, light energy saving and security camera (Soliman et al. 2017). Zaro et al., 2021 confirmed and extended previous arduino based studies by implementing Wi-Fi connection to the system which enabled users to access to control and monitor the system from anywhere in the house. ...
Technology, which is developing considerable in recent years, have influence on automation systems as well. With the advancement of the technology, people want to remote access systems and artificial intelligent systems that can consider for them. Nowadays, people started to tend smart house systems in order to facilitate their lives and to live more peaceful. In this study, a smart house automation system was designed on LabVIEW platform for people who has age-related memory loss or Alzheimer’s or who cannot fulfill their needs. The house performs some functions namely, medication reminder, pulse-control sensor, temperature control and fire alarm, door/window warning system, burglar alarm, and lighting systems. This study is based on, communication via e-mail. If there is any abnormality in the house, the system allows users to have an e-mail about the current situation. Since, the study targets elderly or people who needs medical care, this low-cost design can be very preferable in the future.
Considering recent smart home solutions that automate home appliances through voice commands, elderly people and/or with special needs prefer using their mother-tongue. However, most of current systems adopt the English language, making it harder for non-native English speakers, while personalization is not heavily considered. In this paper, we propose the Arabic Personalized Control of Things (APCoT) system that achieves inhabitant-tailored home automation through Arabic voice commands based on the user’s preferences to control a home device. A new dataset is created for a wider range of Arabic voice commands to interact with home appliances rather than just turning them on/off. Internet of Things, voice and speech recognition are utilized to attain personalization according to the inhabitants' voiceprints, while infrared is adopted to control non-smart devices supporting infrared signals. As a Proof-of-Concept, three home appliances are adopted: TV, Lights and Bluetooth speaker. Machine learning algorithms are customized for Arabic voice recognition, integrating face and hand gestures recognition to provide an additional facility for inhabitant’s identification and sending control commands respectively. The experimental results indicate that the best average accuracies obtained for Arabic voice recognition were 99.63% for a single speaker and 95.4% for multi-speakers, with average response times 0.141s and 14.29s respectively. For speech recognition, Google online API and a customized Vosk offline pretrained model achieved average accuracies of 95% and 90%, average response times 0.7553s and 0.3933s respectively. The face and hand gestures recognition achieved average accuracies of 90% and 98%, average response times 0.5934s and 15.62049s respectively.
Over the last decades, population growth in urban areas and the subsequent rise in demand for housing have resulted in significant space and housing shortages. This paper investigates the influence of smart technologies on small urban dwellings to make them flexible, adaptive and personalised. The study builds on the hypothesis that adaptive homes and smart technology could increase efficiency and space usage up to two to three times compared to a conventional apartment. The present study encompasses a comprehensive semi-systematic literature review that includes several case studies of smart adaptive homes demonstrating various strategies that can be employed to enhance the functionality of small spaces while reducing the physical and psychological limitations associated with them. These strategies involve incorporating time-dependent functions and furniture, as well as division elements that can adapt to the changing needs of users in real-time. This review further categorises types of flexibility and adaptation regarding the size of the moving elements, the time that the transformation takes and whether it is performed manually (by a human) or automatically (by a machine). Results show that smart and adaptive technology can increase space efficiency by reducing the need for separate physical spaces for different activities. Smart technology substantially increases the versatility and multifunctionality of a room in all three dimensions and allows for adaptation and customisation for a variety of users.
Many nations are trying to develop smart cities. In these cities, all appliances will be connected through a communication network, the main challenge is building a system that will be flexible and efficient at the same time. In this study a mobile application was developed to control home appliances through ESP32 controller. The mobile application was developed in such a way that the user can use fingerprint, voice control, and switch buttons control. The mobile application was tested on several phones from a different manufacturer and it performs greatly based on the performance criteria specified in this work.KeywordsSmart buildingsInternet of ThingsSmart citiesMobile applications
