Deep Learning-Based Braille Technology for Visual and Hearing Impaired People

C, Chellaswamy; S, Geetha T; K, Hariharan; A, Dhelipan Raj; K, Archana; S, Babitharani

doi:10.1109/icsses58299.2023.10199935

2023 International Conference on Smart Systems for Applications in Electrical Sciences (ICSSES) 2023

DOI: 10.1109/icsses58299.2023.10199935

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Deep Learning-Based Braille Technology for Visual and Hearing Impaired People

Chellaswamy C,

Geetha T S,

Hariharan K

et al.

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Learning at Your Fingertips: An Innovative IoT-Based AI-Powered Braille Learning System

Latif,

Brahim,

Abdelhamid

et al. 2023

ASI

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Visual impairment should not hinder an individual from achieving their aspirations, nor should it be a hindrance to their contributions to society. The age in which persons with disabilities were treated unfairly is long gone, and individuals with disabilities are productive members of society nowadays, especially when they receive the right education and are given the right tools to succeed. Thus, it is imperative to integrate the latest technologies into devices and software that could assist persons with disabilities. The Internet of Things (IoT), artificial intelligence (AI), and Deep Learning (ML)/deep learning (DL) are technologies that have gained momentum over the past decade and could be integrated to assist persons with disabilities—visually impaired individuals. In this paper, we propose an IoT-based system that can fit on the ring finger and can simulate the real-life experience of a visually impaired person. The system can learn and translate Arabic and English braille into audio using deep learning techniques enhanced with transfer learning. The system is developed to assist both visually impaired individuals and their family members in learning braille through the use of the ring-based device, which captures a braille image using an embedded camera, recognizes it, and translates it into audio. The recognition of the captured braille image is achieved through a transfer learning-based Convolutional Neural Network (CNN).

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Learning at Your Fingertips: An Innovative IoT-Based AI-Powered Braille Learning System

Latif,

Brahim,

Abdelhamid

et al. 2023

ASI

View full text Add to dashboard Cite

show abstract

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Deep Learning-Based Braille Technology for Visual and Hearing Impaired People

Cited by 1 publication

References 24 publications

Learning at Your Fingertips: An Innovative IoT-Based AI-Powered Braille Learning System

Learning at Your Fingertips: An Innovative IoT-Based AI-Powered Braille Learning System

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