Published November 30, 2022 | Version CC BY-NC-ND 4.0
Journal article Open

Construction of Indian Currency Identifier for Visually Impaired

  • 1. Department of Optometry, Sushant University, Gurugram, India.
  • 2. Department of Engineering and Technology, Sushant University, Gurugram, India.

Contributors

Contact person:

  • 1. Department of Optometry, Sushant University, Gurugram, India.

Description

Abstract: Visually impaired people often face difficulty to identify a nominal of money. Indian currency notes are available in different sizes and colours with tactile qualities that enable the visually impaired to identify different currency notes, but these tactile makers are worn out with usage. Various smartphone-based apps are available for note identification but using a smartphone by a visually impaired person gets difficult. So, it is necessary to design a device that supports visually impaired people in note identification. So, to overcome this problem we have designed an Indian currency identifier that will help visually impaired and blind people to identify Indian banknotes easily in less time using a colour sensor and sound module that will give output in audio form. The device makes use of a colour sensor and Arduino Uno to differentiate between currency denominations. The RGB output from the colour sensor is matched with the pre-stored RGB value. If RGB values fall inside any denomination pre-stored value the mp3 module is activated and the output voice is played from the store mp3 according to the result obtained from the Arduino Uno by mp3 module. A prototype was made to see the feasibility which has a Sensitivity of 85.71% and a Specificity of 66.66% to identify Indian currency notes. The cost of the construction of this device would be around 700-800 1NR.

Notes

Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) © Copyright: All rights reserved.

Files

D73291111422.pdf

Files (384.8 kB)

Name Size Download all
md5:a24d50f67ae17051b600d174956056c0
384.8 kB Preview Download

Additional details

Related works

Is cited by
Journal article: 2277-3878 (ISSN)

References

  • Bourne RRA, Flaxman SR, Braithwaite T, Cicinelli MV, Das A, et al. Magnitude, temporal trends, and projections of the global prevalence of blindness and distance and near vision impairment: a systematic review and meta-analysis. Lancet Glob Health. 2017 Sep;5(9):e888-e897.
  • Pascolini, D., & Mariotti, S. P. (2012). Global estimates of visual impairment: 2010. The British journal of ophthalmology, 96(5), 614–618.
  • Orbit Research. (2013). iBill. Retrieved from http://www.orbitresearch.com/ibill_details.php.
  • Hinwood, P. Preston, G. J. Suaning, and N. H. Lovell, "Bank note recognition for the vision impaired," Australas. Phys. Eng. Sci. Med.,vol. 29, no. 2, pp. 229–233, 2006.
  • CNIB. (1996). Canadian Bank Note Reader. Retrieved from http://www.cnib.ca/en/services/products/bank-note-reader.
  • U. S. S. Perera and D. N. Balasuriya " SRI LANKAN currency note recognizer for visually impaired people" Department of Electrical & Computer Engineering.
  • Hinwood and P. Preston "Bank note recognition for the vision impaired" Australasian Physical & Engineering Sciences in Medicine Volume 29 Number 2, 2006.
  • Rashidah Funke Olanrewaju, Fajingbesi Fawwaz Eniola and Shaibo "Automated Bank Note Identification System for Visually Impaired Subjects in Malaysia". International Islamic University Malaysia.

Subjects

ISSN: 2277-3878 (Online)
https://portal.issn.org/resource/ISSN/2277-3878
Retrieval Number: 100.1/ijrte.D73291111422
https://www.ijrte.org/portfolio-item/d73291111422/
Journal Website: www.ijrte.org
https://www.ijrte.org/
Publisher: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP)
https://www.blueeyesintelligence.org/