An Artificial Intelligence-based Assistant for the Visually Impaired

• URL: http://arxiv.org/abs/2511.06080v2
• Date: Wed, 12 Nov 2025 01:53:07 GMT
• Title: An Artificial Intelligence-based Assistant for the Visually Impaired
• Authors: Luis Marquez-Carpintero, Francisco Gomez-Donoso, Zuria Bauer, Bessie Dominguez-Dager, Alvaro Belmonte-Baeza, Mónica Pina-Navarro, Francisco Morillas-Espejo, Felix Escalona, Miguel Cazorla,
• Abstract summary: This paper describes an artificial intelligence-based assistant application, AIDEN, developed during 2023 and 2024.<n>Visually impaired individuals face challenges in identifying objects, reading text, and navigating unfamiliar environments.<n>This application leverages state-of-the-art machine learning algorithms to identify and describe objects, read text, and answer questions about the environment.
• Score: 2.7825760447670955
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: This paper describes an artificial intelligence-based assistant application, AIDEN, developed during 2023 and 2024, aimed at improving the quality of life for visually impaired individuals. Visually impaired individuals face challenges in identifying objects, reading text, and navigating unfamiliar environments, which can limit their independence and reduce their quality of life. Although solutions such as Braille, audio books, and screen readers exist, they may not be effective in all situations. This application leverages state-of-the-art machine learning algorithms to identify and describe objects, read text, and answer questions about the environment. Specifically, it uses You Only Look Once architectures and a Large Language and Vision Assistant. The system incorporates several methods to facilitate the user's interaction with the system and access to textual and visual information in an appropriate manner. AIDEN aims to enhance user autonomy and access to information, contributing to an improved perception of daily usability, as supported by user feedback.

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