Open AccessSimple smart glasses based on microcontrollers as money detector of nominal and authenticity
Author(s) -
Meizano Ardhi Muhammad,
Muhammad Yusro,
Pitoyo Yuliatmojo
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1402/4/044016
Subject(s) - rgb color model , currency , value (mathematics) , detector , microcontroller , object (grammar) , computer science , simple (philosophy) , value for money , computer hardware , artificial intelligence , economics , monetary economics , telecommunications , machine learning , philosophy , epistemology , public economics
This study aims to make a detector for the nominal value and authenticity of money (rupiah currency). The working principle of this tool is as follows: UV LED function to provide lighting to objects (money). The light will circulate hidden colours in original money so that you can differentiate original or fake money (money whose authenticity is doubtful). The white LED provides lighting for the object, then the light is received by the TCS3200-DB colour sensor to read its Red, Green and Blue (RGB). Furthermore, the RGB value will be processed by Arduino Mega 2560 to be compared with the RGB values in the program. The mini DF-Player functions to play sound according to the sound that has been recorded with the program. Testing the system is done to determine the percentage of success of the system in distinguishing between original money and the authenticity of money is doubtful. Testing of 5 (five) nominal 2016 emission rupiah, namely 2,000-rupiah (60%), 10,000-rupiah (100%), 20,000-rupiah (80%), 50,000-rupiah (100%) and 100,000-rupiah (66%), so the average percentage of success of the tool is 81.2%.