ctrlnum 4332
fullrecord <?xml version="1.0"?> <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><relation>http://eprints.polsri.ac.id/4332/</relation><title>IDENTIFIKASI WARNA RGB BERUPA TAMPILAN TEKS&#xD; MENGGUNAKAN RASPBERRY PI</title><creator>NOFRAN, MUHAMMAD</creator><subject>T Technology (General)</subject><description>Generally, people with color blindness or in English Color Blindes is one of the eye disorder disease that is difficult to distinguish red, green, and blue or better known as RGB (Red-Green-Blue). There is actually research that aims to help people with color blindness to determine the color of RGB. However, this tool is not possible to use Because it is not portable. For that need to be made a portable tool that can help people with color blindness to determine the color easily and accurately. This tool is designed using Raspberry Pi as a software storage, the software used in this tool is opencv software by using python program whose output can be seen in monitor in text form.</description><date>2017-07</date><type>Thesis:Thesis</type><type>PeerReview:NonPeerReviewed</type><type>Book:Book</type><language>eng</language><identifier>http://eprints.polsri.ac.id/4332/1/FILE%20I%20%28COVER%20%2C%20DLL%29.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://eprints.polsri.ac.id/4332/2/FILE%20II%20%28%20BAB%20I%20%29.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://eprints.polsri.ac.id/4332/3/FILE%20III%20%28%20BAB%20II%20%29.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://eprints.polsri.ac.id/4332/4/FILE%20IV%20%28%20BAB%20III%20%29.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://eprints.polsri.ac.id/4332/5/FILE%20V%20%28%20BAB%20IV%20%29.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://eprints.polsri.ac.id/4332/6/FILE%20VI%20%28%20BAB%20V%20%29.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://eprints.polsri.ac.id/4332/7/FILE%20VII%20%28DAFTAR%20PUSTAKA%29.pdf</identifier><identifier> NOFRAN, MUHAMMAD (2017) IDENTIFIKASI WARNA RGB BERUPA TAMPILAN TEKS MENGGUNAKAN RASPBERRY PI. Other thesis, POLITEKNIK NEGERI SRIWIJAYA. </identifier><recordID>4332</recordID></dc>
language eng
format Thesis:Thesis
Thesis
PeerReview:NonPeerReviewed
PeerReview
Book:Book
Book
author NOFRAN, MUHAMMAD
title IDENTIFIKASI WARNA RGB BERUPA TAMPILAN TEKS MENGGUNAKAN RASPBERRY PI
publishDate 2017
topic T Technology (General)
url http://eprints.polsri.ac.id/4332/1/FILE%20I%20%28COVER%20%2C%20DLL%29.pdf
http://eprints.polsri.ac.id/4332/2/FILE%20II%20%28%20BAB%20I%20%29.pdf
http://eprints.polsri.ac.id/4332/3/FILE%20III%20%28%20BAB%20II%20%29.pdf
http://eprints.polsri.ac.id/4332/4/FILE%20IV%20%28%20BAB%20III%20%29.pdf
http://eprints.polsri.ac.id/4332/5/FILE%20V%20%28%20BAB%20IV%20%29.pdf
http://eprints.polsri.ac.id/4332/6/FILE%20VI%20%28%20BAB%20V%20%29.pdf
http://eprints.polsri.ac.id/4332/7/FILE%20VII%20%28DAFTAR%20PUSTAKA%29.pdf
http://eprints.polsri.ac.id/4332/
contents Generally, people with color blindness or in English Color Blindes is one of the eye disorder disease that is difficult to distinguish red, green, and blue or better known as RGB (Red-Green-Blue). There is actually research that aims to help people with color blindness to determine the color of RGB. However, this tool is not possible to use Because it is not portable. For that need to be made a portable tool that can help people with color blindness to determine the color easily and accurately. This tool is designed using Raspberry Pi as a software storage, the software used in this tool is opencv software by using python program whose output can be seen in monitor in text form.
id IOS15200.4332
institution Politeknik Negeri Sriwijaya
institution_id 186
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library
library Perpustakaan Politeknik Negeri Sriwijaya
library_id 333
collection Perpustakaan Politeknik Negeri Sriwijaya
repository_id 15200
city KOTA PALEMBANG
province SUMATERA SELATAN
repoId IOS15200
first_indexed 2021-08-25T09:31:32Z
last_indexed 2021-08-25T09:31:32Z
recordtype dc
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