Smart Blind Stick

This paper has synthesized the attached research into an IEEE-style design study for an IoT-enabled intelligent smart stick. The analysis shows that ultrasonic sensing remains a practical foundation for immediate obstacle detection, while water sensing addresses a specific environmental hazard and GPS/GSM enables emergency assistance. Computer vision adds semantic recognition that can make feedback easier to understand, but its computational and environmental limitations require an optional operating mode. The resulting architecture emphasizes local safety, selective use of high-power processing, simple multimodal feedback, and independent emergency communication. It also preserves the core value of the traditional cane: the user remains in control and can continue using the stick even when advanced subsystems are unavailable. The literature-derived measurements demonstrate promising technical feasibility, but real-world deployment requires broader testing, improved reliability, privacy protection, battery optimization, and user-centered evaluation. Future work should therefore move beyond proof-of-concept integration toward a lightweight, adaptive, edge-intelligent assistive device.

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