Design And Development Of A Intelligent Mirror Using Raspberry Pi3

Volume 13 Issue 2 December 2019

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Author(s): Muhammad Fardeen Sheikh, Zubair Furasat
Abstract This paper presents the design and development of an intelligent mirror. Intelligent mirrors, which proceed with the works today and will have its spot later on innovation, give both mirror and PC supported data administrations to its user. Because of the microcontroller cards ready, these frameworks, which can interface with the web(internet) and take information from the web, can demonstrate this data on the spots situated in the mirror. In the extent of the examination, the created intelligent mirror framework incorporates the climate data, time and area data, recent development data, user data, and camera picture taken from web administrations utilizing Raspberry Pi 3 microcontroller card. Some of the hardwares can be constrained by voice directions through the amplifier on the smart mirror. Everybody recognizes what a mirror is. It is a thing that found in many people’s homes. In mirrors, we see our appearance. In any case, what happens when you join the possibility of a mirror with Innovation? What potential outcomes are there, and how smart could a mirror be? A thought which planned to build up an Intelligent Mirror and a little work framework to control it. The primary objective of this task was to build up a smart mirror gadget just as a working system to keep running on comparative gadgets. The principle includes the Smart Mirror would have demonstrated fundamental climate and time data, having the capacity to include cautions, updates, or notes along these lines we stick notes on an ice chest. To overcome these issues, a framework called “INTELLIGENT MIRROR” is proposed.
Keywords Smart Mirror, IoT, Magic Mirror, Raspberry Pie.
Year 2019
Volume 13
Issue 2
Type Research paper, manuscript, article
Journal Name Journal of Information & Communication Technology (JICT)
Publisher Name ILMA University
Jel Classification -
DOI -
ISSN no (E, Electronic) 2075-7239
ISSN no (P, Print) 2415-0169
Country Pakistan
City Karachi
Institution Type University
Journal Type Open Access
Manuscript Processing Blind Peer Reviewed
Format PDF
Paper Link http://jict.ilmauniversity.edu.pk/arc/Vol13/13.2/3.pdf