Tactile and Sensory Interactions
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A structured survey of recent developments in AI-driven video content summarization and Braille translation, examining six key research works alongside the foundational models and frameworks that underpin them.
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Growing synergies among artificial intelligence, natural language processing, and assistive technology are creating unprecedented opportunities to bridge the information gap experienced by visually impaired individuals. This paper offers a structured survey of recent developments in AI-driven video content summarization and Braille translation, examining six key research works alongside the foundational models and frameworks that underpin them. The scope covers automatic speech recognition, multilingual video processing, text-to-Braille conversion, and hardware-based Braille output. Technologies reviewed include OpenAI Whisper for audio transcription, FLAN-T5 for abstractive summarization, MarianMT by HelsinkiNLP for multilingual translation, and embedded systems for tactile Braille rendering. Through thematic analysis and crosssystem comparison, recurring design patterns, capability limitations, and underexplored opportunities are brought to light. Findings indicate that while the constituent technologies have individually reached a high level of maturity, a unified, real-time, multilingual pipeline capable of delivering end-to-end Braille-accessible video output represents a largely uncharted but highimpact research direction
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@article{Margudri2026Survey,
title = {Survey of Video-to-Braille Accessibility Systems for Visually Impaired Users},
author = {Swayam Margudri},
journal = {International Journal for Research in Applied Science and Engineering Technology},
year = {2026},
doi = {10.22214/ijraset.2026.83325},
url = {https://doi.org/10.22214/ijraset.2026.83325}
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