Construction of Indian Currency Identifier for Visually Impaired
Kamal Thakur1, Zeeshan Akhtar2, Antim Dev Mishra3, Monica Chaudhry4
1Kamal Thakur, Department of Optometry, Sushant University, Gurugram, India.
2Zeeshan Akhtar, Department of Optometry, Sushant University, Gurugram, India.
3Antim Dev Mishra, Department of Engineering and Technology, Sushant University, Gurugram, India.
4Prof. Monica Chaudhry, Department of Optometry, Sushant University, Gurugram, India.
Manuscript received on 21 October 2022 | Revised Manuscript received on 31 October 2022 | Manuscript Accepted on 15 November 2022 | Manuscript published on 30 November 2022 | PP: 42-45 | Volume-11 Issue-4, November 2022 | Retrieval Number: 100.1/ijrte.D73291111422 | DOI: 10.35940/ijrte.D7329.1111422
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Blind people, Colour sensor, Currency identification, Indian currency recognition, Visually impaired.
Scope of the Article: Currency identification