Detection Tool for Authenticity and Nominal of Banknotes for the Blind Using Arduino Based Scanning Sensor

  • Eka Kiki Rachmawati Universitas Sains dan Teknologi Komputer
  • Dani Sasmoko Universitas Sains dan Teknologi Komputer
Keywords: Arduino Uno, Ultraviolet Lamp, TCS3200-DB color sensor and DFPlayer

Abstract

Money is a tool used to carry out buying and selling transactions and has been used by all humans in every corner of the world. This definitely makes money a basic commodity for everyone, even for people with disabilities such as the blind. The blind's limitations in seeing are a problem in terms of communication so they only rely on their sense of touch and hearing. The weakness of the blind in seeing and identifying money can cause money to be exchanged, taken wrongly, or even deceived by counterfeit money when buying and selling. Referring to this, it is necessary to have tools that can make it easier for the blind to identify the authenticity of money and the nominal value of money. The aim of this research is to design a tool that can be used to detect the authenticity of the nominal value of Rupiah banknotes. This tool uses a TCS3200-DB color sensor to detect the color of banknotes, then the microcontroller converts it into RGB data and outputs it in the form of sound output.and an ultraviolet sensor to detect the authenticity of money.The result of this research is that the system can recognize the authenticity and nominal value of moneypaper, especially rupiah. This makes it easier for users, especially the visually impaired, to carry out buying and selling transactions so they don't make mistakesto give or receive money.

References

Dianta, Elias Ginting. “Edge Detection Using the Canny Method with Matlab

To Distinguish between Real Money and Fake Money". Journal of the Department of Informatics Engineering, Faculty of Technology, Industry, Gunadarma University, vol.1 no.1 (May, 2012): 1-13.

UIN Alauddin Makassar. Guide to Writing Scientific Papers at UIN Alauddin

Makassar 2014.Makassar: UINAM, 2014.

Jalil, Abdul. “Banknote Nominal Detection Control System Using Image

Processing Raspberry PI". STIMIK STIKOM Surabaya Journal, vol. 3, no. 1 (2014) Page: 120-125.

Yultrisna, Rahmat, Muhamad Aidil “Design of a Nominal Money Detection Machine

Paper Rupiahs with Voice Output and Microcontroller Based Rupiah Money Exchange for the Blind”, Padang State Polytechnic, VOL 5 No. 1 (January 2016)

Saiful Widianto, Kusworo Adi, Hernowo Danu Saputro "Design of a Color Detection Tool to Help Color Blind Sufferers Based on the Avr Atmega16 Microcontroller", Vol 1, No.4 (July 2013).

Arie Linarta, Nurhadi "Arduino-Based Automatic School Bell Application Equipped with Voice Output"Dumai College of Informatics and Computer Management (STMIK), Vol. 10 No. 2, December 2018.

R. Kuswandhie, "Tools for Detecting Nominal and Authenticity of Paper Currency," JTI, Vol. 7, no. 1, pp. 48– 56, 2015.

Oktafaina. 2016. Banknote Nominal Detection Tool with Voice Output for the Blind. Electrical Engineering Student, Gadjah Mada University, Yogyakarta.

Shoppu, Liz. “Color Sensor”. https://independent.academia.edu (November 2016).

Dianta, Elias Ginting. "Edge Detection Using the Canny Method with Matlab to Distinguish Real Money from Fake Money". Journal of the Department of Informatics Engineering, Faculty of Technology, Industry, Gunadarma University, vol.1 no.1 (May, 2012): 1-13.

Porbadi, Dwi Aryo. "Banknote Nominal Detection Tool for the Blind". Journal of Electrical Engineering, Faculty of Industrial Technology, Sepuluh Nopember Institute of Technology (ITS), vol.1 no.1 (May 2014): 1-6.

Ramadijanti, Nana et al. "System for Recognizing the Validity and Nominal Value of Rupiah Banknotes using the Intersection Histogram and Projection Integral Methods". Journal of Engineering Polytechnic, Institute of Surabaya (EEPIS), vol.2 no.1 (October, 2012): 125-131.

Adriansyah, A., & Hidyatama, O. (2013). Elevator Prototype Design Using Arduino ATMEGA 328P Microcontroller. Journal of Electrical Technology, 4(3), 100–112.

Published
2024-05-10
How to Cite
Eka Kiki Rachmawati, & Dani Sasmoko. (2024). Detection Tool for Authenticity and Nominal of Banknotes for the Blind Using Arduino Based Scanning Sensor. Journal of Technology Informatics and Engineering, 2(3), 45-60. https://doi.org/10.51903/jtie.v2i3.164