A Hybrid Artificial Intelligence System for the Visually Impaired

Accessible Artificial Intelligence (AI) for the visually impaired is an important problem faced by individuals with visual disabilities. These challenges include difficulties in reading written text and documents, navigating and recognizing surroundings, converting printed text into digital formats, and limited accessibility of smartphones for daily tasks. Thus, this paper developed a hybrid AI solution that enhances independence, accessibility, and overall quality of life for visually impaired individuals across diverse aspects of daily living. The research successfully achieved its objectives by delivering three functional software systems that address key areas of human-computer interaction: object recognition, text-to-speech, and speech-to-text—and integrated these systems known as an intelligent Hybrid AI System for visually impaired people with 92% accuracy. The research designed to assist visually impaired individuals in interacting more effectively with their environment and digital devices. The application was developed using programming languages such as Python, JavaScript, PHP, MySQL, Flask, and APIs such as Microsoft Azure and vision computing. The results proved that these solutions significantly enhance the ability of visually impaired users to recognize objects and navigate digital content using voice commands and screen readers with superior performance.

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Publication Details

Published
2024-11-26
DOI
https://doi.org/10.1109/nigercon62786.2024.10927291
Citations
1
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
0.40
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A Hybrid Artificial Intelligence System for the Visually Impaired

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1 citations
Retinal Imaging and Analysis
0.40
article

A Hybrid Artificial Intelligence System for the Visually Impaired

Oluwatobi Azeez Balogun, Daniel Dauda Wisdom, Olufunke Rebecca Vincent, Alpha Baba Garba, Isaac Oniovosah Ayetuoma, Taiwo Olufemi Ajayi
article en
1 citations

Abstract

Accessible Artificial Intelligence (AI) for the visually impaired is an important problem faced by individuals with visual disabilities. These challenges include difficulties in reading written text and documents, navigating and recognizing surroundings, converting printed text into digital formats, and limited accessibility of smartphones for daily tasks. Thus, this paper developed a hybrid AI solution that enhances independence, accessibility, and overall quality of life for visually impaired individuals across diverse aspects of daily living. The research successfully achieved its objectives by delivering three functional software systems that address key areas of human-computer interaction: object recognition, text-to-speech, and speech-to-text—and integrated these systems known as an intelligent Hybrid AI System for visually impaired people with 92% accuracy. The research designed to assist visually impaired individuals in interacting more effectively with their environment and digital devices. The application was developed using programming languages such as Python, JavaScript, PHP, MySQL, Flask, and APIs such as Microsoft Azure and vision computing. The results proved that these solutions significantly enhance the ability of visually impaired users to recognize objects and navigate digital content using voice commands and screen readers with superior performance.

Federal University of Agriculture, Abeokuta (NG), University of Ibadan (NG), Kaduna State University (NG)
Openalex Percentile: Top 30%
Retinal Imaging and Analysis
0.40
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