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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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| Paper Title: | A Comprehensive Review on NaVeYe: A Smart Assistive Device for Visually Impaired Individuals |
| Authors Name: | Shifa Khan , Arshi Khan , Talha Siddique , Zaid Nagori , Affan Qureshi |
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IJRTI_206939
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| Published Paper Id: | IJRTI2510131 |
| Published In: | Volume 10 Issue 10, October-2025 |
| DOI: | |
| Abstract: | Visual impairment poses significant challenges to the mobility, independence, and social engagement of over 338 million individuals worldwide. Traditional assistive aids, such as white canes and guide dogs, while invaluable, are fundamentally limited in their ability to detect head-level obstacles or provide the rich environmental information necessary for complex tasks like autonomous navigation. This paper charts the technological evolution from early sensor-based electronic travel aids to modern AI-powered wearable systems that are redefining the landscape of assistive technology. We specifically examine contemporary approaches, such as a hat-mounted system that leverages a Raspberry Pi and Large Vision-Language Models (LVLMs), to deliver real-time object recognition and rich contextual understanding via an LVLM, complemented by a separate ultrasonic sensor for basic obstacle avoidance alerts. This review provides a comparative analysis of a range of existing systems, deconstructs their key technological components, and evaluates their effectiveness from both a technical and user-centric perspective. The paper’s primary contribution is the critical identification of persistent challenges—including model accuracy and hallucinations, user cognitive load, and social acceptance—and the articulation of future imperatives for developing the next generation of assistive technologies. These imperatives call for more powerful, personalized, and on-device AI that is co-designed with users to be robust, user-friendly, and socially responsible. |
| Keywords: | Artificial Intelligence, Assistive Technology, Computer Vision, Visually Impaired, Deep Learning, Multimodal Large Language Models, Edge AI, Accessibility Systems |
| Cite Article: | "A Comprehensive Review on NaVeYe: A Smart Assistive Device for Visually Impaired Individuals", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 10, page no.b264-b269, October-2025, Available :http://www.ijrti.org/papers/IJRTI2510131.pdf |
| Downloads: | 00076 |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2510131
Registration ID:206939
Published In: Volume 10 Issue 10, October-2025
DOI (Digital Object Identifier):
Page No: b264-b269 Country: Mumbai , Maharashtra, India Research Area: Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2510131 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2510131 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
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