SOURCE-LINKED INTELLIGENCE
An Affordable AI-Integrated Smart Cane for Multimodal Mobility Assistance of Visually Impaired Users
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-constrained settings. This paper presents an affordable (\$88 USD), fully offline AI-integrated smart cane designed for multimodal mobility assistance on an ultra-low-power Raspberry Pi Zero 2W. The system fuses RGB vision sensing with Time-of-Flight (ToF) distance estimation, pairing an INT8-quantiz
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-12T08:45:09.000Z
First collected: 2026-09-24T14:02:34.369Z. This is not the publication date.