A Smart and Intelligent Home Automation System

Author(s):  
Rahat Bin Aziz Tonoy ◽  
Mahmudunnabi ◽  
Hasan Mohiuddin Zilany ◽  
Rashedur M. Rahman

This paper presents the intelligent Home Automation System (HAS) for disabled people, since still now facilities for disabled people are insufficient around the world. Numerous researchers developed different technologies considering Bluetooth technology, ZigBee system, and Wifi technology. However, these topologies lack efficient support for disabled people. Therefore, to engage the disabled people with the modern technology and make their life safe, secure and comfortable, authors have introduced the Rasberry Pi 3 Model B with Blynk application which is able to control the home appliances from their smart android phone. In this research, the motion of the intruder has been considered as the key parameters and HOG method is used to detect the motion. Experimental validation of the proposed model implies that this process is more secure and user-friendly for disabled people compare to other existing technology. Therefore, the main contribution of this research is to develop a secured automated system, which will enable the disabled people to control the home appliances and thus overcome the limitation of the existing technology


2016 ◽  
Vol 2 (3) ◽  
pp. 7-15
Author(s):  
Jae-Wook Jeong ◽  
Jong-Hyuck Kim ◽  
Hyeong-Nam Kim ◽  
Tai-Woo Kim

2017 ◽  
Vol 26 (2) ◽  
pp. 1-14
Author(s):  
Osama Qasim Jumah ◽  
Sara Abbas Radhi ‎

This paper proposes an advanced intelligent home automation system to control the mainhome functions such as heating, ventilation, air conditioning, shading, lighting, security and food’spreparation. The proposed system designed to detect motion or fire and to make decisionsindependently. Information about motion, heating, and lightning were collected from three nodes usingspecial sensors that micro-controlled through Arduino with WIFI shield and Xbee to be sent to theSmart Phone for manipulation through Java-based Android application. Delta Learning Rule algorithmwas used for decisions making as it is able to distinguish whether it is a dangerous situation or not.Furthermore, the proposed system has a property of generating an alert signal and sends it to the policeor fire station through GMS messages.


Author(s):  
Khalil Azha Mohd Annuar ◽  
Muhammad Faiq Maharam ◽  
Nik Azran Ab Hadi ◽  
Mohamad Haniff Harun ◽  
Mohd Firdaus Mohd Ab Halim

Author(s):  
R MF Amin ◽  
R FA Yasmin ◽  
A. N. Azlina ◽  
AB Zanariah ◽  
Y Faridah

<p>Home automation system is one of the intelligent systems meant to create new opportunities for industry and business, as well as new experiences for users and consumers. This project is about designing, developing and testing a web-based intelligent home automation system called i-Home. The main users will be residents in any residential area i.e. gated community, terrace housing area, condominium and others. Its function is to ease residents in controlling the lights, fans, air conditioning, the house temperature and monitoring their CCTVs through online. For the hardware component Raspberry Pi was used due to its low cost, credit card-sized single-board computer that includes a processor, GPU, RAM and MicroSD as the server. Raspberry Pi primarily uses Linux-kernel-based operating system. It also requires PHP, JavaScript, Python and MySQL. The prototype of the system was built and performed most of the functions of home automation system. Usability and functional testing were carried out and both results showed that all functions worked perfectly.</p>


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