AI-Powered Assistive Technologies for Visual Impairment

Fuente: arXiv
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Autori principali: Naayini, Prudhvi, Myakala, Praveen Kumar, Bura, Chiranjeevi, Jonnalagadda, Anil Kumar, Kamatala, Srikanth
Natura: Preprint
Pubblicazione: 2025
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author Naayini, Prudhvi
Myakala, Praveen Kumar
Bura, Chiranjeevi
Jonnalagadda, Anil Kumar
Kamatala, Srikanth
author_facet Naayini, Prudhvi
Myakala, Praveen Kumar
Bura, Chiranjeevi
Jonnalagadda, Anil Kumar
Kamatala, Srikanth
contents Artificial Intelligence (AI) is revolutionizing assistive technologies. It offers innovative solutions to enhance the quality of life for individuals with visual impairments. This review examines the development, applications, and impact of AI-powered tools in key domains, such as computer vision, natural language processing (NLP), and wearable devices. Specific advancements include object recognition for identifying everyday items, scene description for understanding surroundings, and NLP-driven text-to-speech systems for accessing digital information. Assistive technologies like smart glasses, smartphone applications, and AI-enabled navigation aids are discussed, demonstrating their ability to support independent travel, facilitate social interaction, and increase access to education and employment opportunities. The integration of deep learning models, multimodal interfaces, and real-time data processing has transformed the functionality and usability of these tools, fostering inclusivity and empowerment. This article also addresses critical challenges, including ethical considerations, affordability, and adaptability in diverse environments. Future directions highlight the need for interdisciplinary collaboration to refine these technologies, ensuring equitable access and sustainable innovation. By providing a comprehensive overview, this review underscores AI's transformative potential in promoting independence, enhancing accessibility, and fostering social inclusion for visually impaired individuals.
format Preprint
id arxiv_https___arxiv_org_abs_2503_15494
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle AI-Powered Assistive Technologies for Visual Impairment
Naayini, Prudhvi
Myakala, Praveen Kumar
Bura, Chiranjeevi
Jonnalagadda, Anil Kumar
Kamatala, Srikanth
Human-Computer Interaction
Artificial Intelligence
Computers and Society
Artificial Intelligence (AI) is revolutionizing assistive technologies. It offers innovative solutions to enhance the quality of life for individuals with visual impairments. This review examines the development, applications, and impact of AI-powered tools in key domains, such as computer vision, natural language processing (NLP), and wearable devices. Specific advancements include object recognition for identifying everyday items, scene description for understanding surroundings, and NLP-driven text-to-speech systems for accessing digital information. Assistive technologies like smart glasses, smartphone applications, and AI-enabled navigation aids are discussed, demonstrating their ability to support independent travel, facilitate social interaction, and increase access to education and employment opportunities. The integration of deep learning models, multimodal interfaces, and real-time data processing has transformed the functionality and usability of these tools, fostering inclusivity and empowerment. This article also addresses critical challenges, including ethical considerations, affordability, and adaptability in diverse environments. Future directions highlight the need for interdisciplinary collaboration to refine these technologies, ensuring equitable access and sustainable innovation. By providing a comprehensive overview, this review underscores AI's transformative potential in promoting independence, enhancing accessibility, and fostering social inclusion for visually impaired individuals.
title AI-Powered Assistive Technologies for Visual Impairment
topic Human-Computer Interaction
Artificial Intelligence
Computers and Society
url https://arxiv.org/abs/2503.15494