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March 2, 2026Scientific ReportsOpen Access

AI-powered BlindSpot VisionGuide system on raspberry Pi for enhancing independence of visually impaired users

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Authors

MSM. SudhaSASTRA UniversitySSS. SwaminathanSASTRA UniversityMSM. SubaSASTRA University

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Implication

This work demonstrates an AI-based assistive system enhancing independence in visually impaired users, suggesting practical applications for accessibility technology.

Key Points

  • This work aims to develop an integrated AI assistive system to enhance the independence of visually impaired users through audio interactions.
  • Integrated AI-based system developed for Raspberry Pi.
  • Included modules for face recognition, image captioning, and reading online newspapers.
  • Utilized deep facial embeddings for facial recognition and a transformer-based model for image captioning.
  • Implemented a text-to-speech engine for audio output and interaction.
  • Evaluated system performance regarding recognition accuracy, response time, and memory consumption.
  • The system exhibits reliable performance across all modules tested.
  • Demonstrated effective real-time audio feedback for face recognition.
  • Provided natural language descriptions for captured images using the BLIP model.
  • Successfully converted structured news content to speech through its integrated modules.

Cite This Study

Sudha et al. (2026) studied this question.

synapsesocial.com/papers/69a528ecf1e85e5c73bf060bhttps://doi.org/10.1038/s41598-026-39724-9
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Also Consider

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  1. 1Sustainable AI Solutions for Empowering Visually Impaired Students: The Role of Assistive Technologies in Academic Success2025 · 17 citations
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  3. 3Wearable Smart System for Visually Impaired People2018 · 151 citations
  4. 4Empowering and conquering infirmity of visually impaired using AI‐technology equipped with object detection and real‐time voice feedback system in healthcare application2023 · 15 citations