Title
Smart mirror using raspberry Pi
Abstract
In recent years personal health monitoring systems have been gaining popularity, both as a result of the pull from the general population, keen to improve well-being and early detection of possibly seri- ous health conditions and the push from the industry eager to translate the current significant progress in computer vision and machine learning into commercial products. One of such systems is the Smart Mirror. The project aims to translate the semeiotic code of the human face into computational descriptors and measures, automatically extracted from videos, multispectral images, and 3D scans of the face. The multisensory platform, being developed as the result of that project, in the form of a smart mirror, looks for signs related to cardio-metabolic risks. The goal is to enable users to self-monitor their well-being status over time and improve their life-style via tailored user guidance. The project describes the concepts, methods and the developed implementations as well as reports on the result s obtained on both real and synthetic datasets.
This project depicts the design and development of a smart mirror that represents an elegant interface for glancing information and also used for thief detection in a home environment. A smart mirror is a system that functions as a mirror with additional capability of displaying date, time, current temperature, weather details; it also can be used to display vital signs like heart rate and skin temperature. To design a smart mirror that receives online news an d displays it using Internet of things (IoT) circuitry and to detect thieves when nobody is at home. Main Objective of this mirror is that it can be used to measure vital signs of users. In Last two years i nfrared t hermal cameras/ sensors have been applied i n contactless thermometers for the screening of patients with suspected infectious disease. However these contactless vital signs monitoring devices are limited to large facilities and healthcare. This study aims to develop and evaluate smart mirrors which use “infrared thermal sensor ” and “Visible Spectrum (RGB) cameras” to monitor vital signs of users which can be deployed in every home. With this technology in every house users can keep a tab of their vital signs everyd ay f rom t h e i r home i t sel f witho ut any extra nee d of he a l t hca re equip ment
Key Words
Smart mirror using raspberry Pi
Cite This Article
"Smart mirror using raspberry Pi", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.82-91, August-2022, Available :
http://www.jetir.org/papers/JETIRFP06015.pdf
ISSN
2349-5162 | Impact Factor 7.95 Calculate by Google Scholar
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Cite This Article
"Smart mirror using raspberry Pi", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. pp82-91, August-2022, Available at : http://www.jetir.org/papers/JETIRFP06015.pdf
Publication Details
Published Paper ID: JETIRFP06015
Registration ID: 500579
Published In: Volume 9 | Issue 8 | Year August-2022
DOI (Digital Object Identifier):
Page No: 82-91
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
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