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Original Article

Augmented Reality Navigation for Visually Impaired Persons

S.Sathya1 Dharshan V2 John David J3 Lokesh V4 Byresh A5
1 Assistant Professor, Department of Information Technology, Er Perumal Manimekalai college of Technology, Hosur, Tamil Nadu, India. 2 3 4 5 UG Scholar, Department of Information Technology, Er. Perumal Manimekalai College of Engineering, Hosur, Tamil Nadu, India.

Published Online: March-April 2026

Pages: 391-394

Abstract

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.

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