Augmented Reality Navigation for Visually Impaired Persons

DOI

https://www.doi.org/10.59256/ijrtmr.20260602054

Published In

Volume 6, Issue 2 (2026)

Published Online

March-April 2026

Pages

391-394

Article Type

Original Article

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Independent mobility remains a formidable challenge for visually impaired individuals, as traditional navigational aids offer limited real-time environmental context. This paper presents an advanced, web-based Augmented Reality (AR) navigation system engineered specifically to enhance spatial awareness and autonomous transit for the visually impaired. Designed as a Progressive Web Application (PWA) using Next.js and Type Script, the system eliminates the friction of native app installations while leveraging standard device capabilities through modern Web APIs. The architecture seamlessly integrates the Web Speech API for voice- command interaction, the Geolocation API mapped with Google Maps for precise routing, and the MediaDevices API for camera-assisted environmental awareness. To ensure robust usability, the system incorporates multi-sensory feedback mechanisms, including spatial audio instructions and haptic vibration alerts, alongside Bluetooth connectivity for external assistive peripherals. Real-world functional testing demonstrates that the proposed software framework delivers highly accurate, low-latency navigation without relying on cumbersome external hardware or simulated data. By prioritizing accessibility, responsiveness, and seamless API integration, this system provides a scalable, practical blueprint for next-generation assistive mobility solutions.