Técnicas de visión artificial aplicadas a tecnologías asistivas para personas con discapacidad visual: una revisión sistemática de la literatura
DOI:
https://doi.org/10.36825/RITI.14.34.008Palabras clave:
Inteligencia Artificial, Discapacidad Visual, Dispositivos Móviles, Computo en la NubeResumen
La discapacidad visual constituye una de las principales barreras para la inclusión social, afectando a más de 285 millones de individuos que padecen debilidad visual o ceguera, y los dispositivos de apoyo suelen ser costosos o poco accesibles. Por tal motivo, en el presente estudio se llevó a cabo una Revisión Sistemática de la Literatura (RSL) cuyo objetivo principal es identificar los modelos de inteligencia artificial más eficientes en el área de reconocimiento de texto, colores y objetos como frutas, billetes y expresiones faciales. Esta búsqueda incluye artículos que se publicaron entre 2020 y 2026, explorando las principales bases de datos científicas indexadas como Redalyc, Biblioteca Digital ACM, Consensus, IEEE Xplore, Springer Natura Link y Google Académico. Durante la búsqueda, se identificaron y analizaron 46 artículos donde se identificó que las arquitecturas basadas en Redes Neuronales Convolucionales (CNN) y modelos de aprendizaje profundo son las más eficaces para procesar información visual a través de imágenes o videos en tiempo real sin gran necesidad de recursos elevados.
Citas
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