Third Eye Smart Aid for Visually Impaired

Author:

V Sahana1,R Shashidhar2,N. Bindu S.1,N. Chandana A.1,G Nishrutha C.1

Affiliation:

1. JSS Academy of Technical Education, Bengaluru

2. JSS Science and Technology University

Abstract

Abstract Smartphones are less likely to be considered as assistive technology for visual impairment among a large majority of health care providers, excluding vision rehabilitation professionals, and the public who are not familiar with accessible features and apps. They face significant challenges in terms of accessibility and inclusion in the smartphone environment. The world of money has completely changed, but some things remain the same. The quickly expanding utilization of CREDIT/ DEBIT cards and all the other different forms of money transfer mechanisms, including electronic payment, has certainly made its mark in today’s world. However, paper money is still broadly used in today’s world for ordinary exchanges because of its convenience. Due to similarity of the texture of the paper, and the different sizes that exist between different categories, visually impaired people face problems with monetary transactions because of their inability to recognize paper currency. The inability to read printed documents is a disadvantage for blind people. Speech based applications can help improve support for visually impaired people. The proposed system aims to provide assistive technology for currency recognition, text recognition to help visually impaired people.

Publisher

Research Square Platform LLC

Reference23 articles.

1. World Health Organization: WHO (2022) Blindness and vision impairment. www.whoi>.int. https://www.who.int/news-room/fact-sheets/detail/blindness-and-visual-impairment

2. The Burden of Visual Impairment and Efforts to Curve it Down;Haileamlak A;PubMed,2022

3. IPCRF: An End-to-End Indian Paper Currency Recognition Framework for Blind and Visually Impaired People;Singh M;IEEE Access,2022

4. Vidula Meshram P, Thamkrongart K, Patil P, Chumchu S, Bhatlawande (2020) July 8, "Dataset of Indian and Thai Banknotes", IEEE Dataport, doi: https://dx.doi.org/10.21227/cjb5-n039

5. Indian Currency Note Images dataset 2020. Kaggle. https://www.kaggle.com/datasets/vishalmane109/indian-currency-note-images-dataset-2020

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