A Novel AI-Driven Assistive Framework for Enhanced Navigation and Text Recognition for Visually Impaired Using Smart Glasses

Priyanka Kumari and Ramy Hammady ()
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Priyanka Kumari: Nash Squared
Ramy Hammady: University of Southampton, Winchester School of Art

A chapter in XR and Metaverse, 2026, pp 471-488 from Springer

Abstract: Abstract This study proposes a novel assistive system architecture utilising Vuzix Blade 2 smart glasses to enhance the mobility and autonomy of visually impaired individuals. It addresses the limitations of current technologies by integrating real-time object detection, distance estimation, and optical character recognition (OCR), supported by auditory feedback. A comparative analysis between YOLOv11 and YOLOv12 models evaluates detection accuracy and computational efficiency, optimising system performance for wearable deployment. The system framework combines augmented reality, computer vision, and artificial intelligence (AI) to deliver context-aware support in dynamic environments. Evaluation results demonstrate the system’s capability to detect nearby obstacles within one metre, estimate distances accurately, and convert printed text into speech in real time. This work contributes a scalable and inclusive solution, offering practical insights for the development of intelligent assistive technologies. The findings underscore the potential of AI-enhanced wearable systems in advancing accessibility and promoting independent navigation for users with visual impairments.

Keywords: Assisted technology; Augmented reality; Object detection; OCR; AR application (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-032-11983-4_35

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DOI: 10.1007/978-3-032-11983-4_35

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