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An Affordable AI-Integrated Smart Cane for Multimodal Mobility Assistance of Visually Impaired Users

Akarma, Ali et al.
arXiv (All) · Papers
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artificial-intelligencecomputer-vision-and-pattern-recognitioncomputers-and-societyrobotics
Visual impairment affects over 2.2 billion people worldwide, yet conventional white canes cannot detect elevated hazards or provide semantic environmental context. Existing AI-assisted navigation systems typically rely on expensive hardware or cloud connectivity, limiting accessibility in resource-c
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