Argira Vision v0.5 – Functional browser prototype for image description using Claude API (requires API key)

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Authors: Jose Ranero García
Cited by: 0

Abstract

Conceptual proposal for an autonomous visual navigation system for blind and visually impaired people, inspired by the logic of autonomous vehicles. The system would use 360° cameras, proximity sensors, GPS and real-time AI to translate the visual environment into sound, extending the Argira sonification pipeline from paintings to the real world. A blind person would perceive their surroundings through sound the same way Argira translates a painting into music. The scientific foundation is already publicly documented in Argira Station (Zenodo). This document registers the original idea with date and authorship for future development.Author: Jose Ranero García | ORCID: 0009-0009-3168-6379 | License: CC BY-NC 4.0 | Argira Station 2026 ES: Propuesta conceptual de un sistema de navegación visual autónoma para personas ciegas y con discapacidad visual, inspirado en la lógica de los vehículos autónomos. El sistema usaría cámaras 360°, sensores de proximidad, GPS e IA en tiempo real para traducir el entorno visual en sonido extendiendo el pipeline de sonificación Argira de las pinturas al mundo real. Una persona ciega percibiría su entorno mediante sonido igual que Argira traduce una pintura en música. La base científica ya está documentada públicamente en Argira Station (Zenodo). Este documento registra la idea original con fecha y autoría para desarrollo futuro. Autor: Jose Ranero García | ORCID: 0009-0009-3168-6379 | Licencia: CC BY-NC 4.0 | Argira Station 2026

Fields of Study & Subjects

Assistive Technology in Communication and Mobility Tactile and Sensory Interactions Digital Accessibility for Disabilities

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 March 2026
Language
EN