An overview of home automation systems

Author(s):  
Muhammad Asadullah ◽  
Ahsan Raza
Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3587
Author(s):  
Ezequiel Simeoni ◽  
Eugenio Gaeta ◽  
Rebeca I. García-Betances ◽  
Dave Raggett ◽  
Alejandro M. Medrano-Gil ◽  
...  

Internet of Things (IoT) technologies are already playing an important role in our daily activities as we use them and rely on them to increase our abilities, connectivity, productivity and quality of life. However, there are still obstacles to achieving a unique interface able to transfer full control to users given the diversity of protocols, properties and specifications in the varied IoT ecosystem. Particularly for the case of home automation systems, there is a high degree of fragmentation that limits interoperability, increasing the complexity and costs of developments and holding back their real potential of positively impacting users. In this article, we propose implementing W3C’s Web of Things Standard supported by home automation ontologies, such as SAREF and UniversAAL, to deploy the Living Lab Gateway that allows users to consume all IoT devices from a smart home, including those physically wired and using KNX® technology. This work, developed under the framework of the EC funded Plan4Act project, includes relevant features such as security, authentication and authorization provision, dynamic configuration and injection of devices, and devices abstraction and mapping into ontologies. Its deployment is explained in two scenarios to show the achieved technology’s degree of integration, the code simplicity for developers and the system’s scalability: one consisted of external hardware interfacing with the smart home, and the other of the injection of a new sensing device. A test was executed providing metrics that indicate that the Living Lab Gateway is competitive in terms of response performance.


Author(s):  
Frederik Möllers ◽  
Stephanie Vogelgesang ◽  
Jochen Krüger ◽  
Isao Echizen ◽  
Christoph Sorge

Webology ◽  
2021 ◽  
Vol 18 (SI02) ◽  
pp. 32-41
Author(s):  
M. Karthikeyan ◽  
T.S. Subashini ◽  
M.S. Prashanth

Home automation offers a good solution to help conserve our natural resources in a time when we are all becoming more environmentally conscious. Home automation systems can reduce power consumption and when they are not in use automatically turn off lights and appliances. With home automation, many repetitive tasks can be performed automatically or with fewer steps. For example, each time the person gets out of his computer desk, for instance, the fan and the lights need to be turned off and switched on when he comes back to the computer desk. This is a repetitive task, and failure to do so leads to a waste of energy. This paper proposes a security/energy saving system based on face recognition to monitor the fan and lights depending on the presence or absence of the authenticated user. Initially, the authenticated faces/users LBPH (Local Binary Pattern Histogram) features were extracted and modelled using SVM to construct the face profile of all authenticated users. The webcam catches the user's picture before the PC and the Haar-cascade classifier, a profound learning object identification technique is used to identify face objects from the background. The facial recognition techniques were implemented with python and linked to the cloud environment of Ada-Fruit in order to enable or disable the light and fan on the desk. The relay status is transmitted from Ada Fruit Cloud to Arduino Esp8266 using the MQTT Protocol. If the unidentified user in the webcam is detected by this device, the information in the cloud will be set to ' off ' status, allowing light and fan to be switched off. Although Passive Infrared Sensor (PIR) is widely used in home automation systems, PIR sensors detect heat traces in a room, so they are not very sensitive when the room itself is hot. Therefore, in some countries such as INDIA, PIR sensors are unable to detect human beings in the summer. This system is an alternative to commonly used PIR sensors in the home automation process.


Author(s):  
Parkhomenko Anzhelika ◽  
◽  
Tulenkov Artem ◽  
Zalyubovskiy Yaroslav

The paper presents the results of the analysis of electrical switchboards computer-aided design process features. The problems of modeling and ensuring the normal temperature mode of switchboard equipment functioning for safe operation of home automation systems are investigated. The work shows that the shortcomings of existing methods and systems of monitoring make it impossible to use them for remote monitoring of the parameters of switchboard equipment due to a whole set of structural and functional features of developed objects. The main requirements for remote monitoring subsystem are compact modular design of hardware that will save space while providing the necessary functionality, low cost, and low power consumption of the components; reliable transmission of monitoring data over long distances, and data storage for further mining. The results of the development and implementation of the method of remote monitoring of electrical switchboard equipment critical parameters are presented. The possibilities of Orange opensource software using for data visualization and intellectual analysis are shown. The identified associative rules can be used for further improvement of control scenarios of the home automation system and ensure the reliable operation of switchboard equipment. The scientific significance of the work lies in the fact that the method of remote monitoring of operational parameters of electrical switchboard has been further developed based on the developed methodology for determining conditions and types of user notifications as well as the integrated usage of wireless data transmission technologies, cloud storage technologies and data mining tools. The practical significance of the obtained results is that the introduction of the remote monitoring subsystem will increase the reliability and security of the home automation system and its attractiveness to users. Further work will focus on the intellectual analysis of the data obtained based on Bayesian networks to develop and study patterns of human activity during home automation system operation to formulate recommendations for the user and specialists to improve the control scenarios of the home automation system. Key words: home automation system, switchboard equipment, remote monitoring, temperature mode, wireless technologies, cloud service, associative rules.


Author(s):  
Chintan Bimal Maniyar ◽  
Chintan M. Bhatt ◽  
Tejas Nimeshkumar Pandit ◽  
Dewanshi Harishankar Yadav

The objective of this chapter is to discuss the authors' interaction and involvement with technology and bots, opening a whole new and wide scope of possibilities while letting bots comfort us. The prevalence of bots and automation is increasing by every passing day – Cortana, Siri have been here for a long time and have now been overtaken by Alexa and other home automation systems that provide a two-way dialogue conversations. This chapter explores the possibilities of creating bots that can cheer us up when we are sad. Analyzing the semantics of our sentences and analyzing the pitch of our voice to identify our emotional state, and then providing an n-way dialogue conversation, relevant to the then existing context, instead of the mundane two-way dialogue conversation is the lucid content of this chapter. Summing it up, this chapter examines the possibility of creating bots that can serve as an emotional support to us humans.


2018 ◽  
Vol 74 ◽  
pp. 296-307 ◽  
Author(s):  
Christopher M. Talbot ◽  
Michael A. Temple ◽  
Timothy J. Carbino ◽  
J. Addison Betances

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