Home
International Journal of Science and Research Archive
International, Peer reviewed, Open access Journal ISSN Approved Journal No. 2582-8185

Main navigation

  • Home
    • Journal Information
    • Abstracting and Indexing
    • Editorial Board Members
    • Reviewer Panel
    • Journal Policies
    • IJSRA CrossMark Policy
    • Publication Ethics
    • Issue in Progress
    • Current Issue
    • Past Issues
    • Instructions for Authors
    • Article processing fee
    • Track Manuscript Status
    • Get Publication Certificate
    • Become a Reviewer panel member
    • Join as Editorial Board Member
  • Contact us
  • Downloads

ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

Peer Reviewed and Referred Journal || Free Certificate of Publication

Research and review articles are invited for publication in March 2026 (Volume 18, Issue 3) Submit manuscript

Wearable Navigation Aid for Visually Impaired People Using AI

Breadcrumb

  • Home
  • Wearable Navigation Aid for Visually Impaired People Using AI

Naseer R, Manjunath C P, Ramanand K Bhatte *, Seeta and Yuvraj S

Department of Computer Science and Engineering Bapuji Institute of Engineering and Technology (BIET), Davangere, Karnataka, India.

Research Article

International Journal of Science and Research Archive, 2025, 17(03), 1169-1175

Article DOI: 10.30574/ijsra.2025.17.3.3372

DOI url: https://doi.org/10.30574/ijsra.2025.17.3.3372

Received on 12 November 2025; revised on 29 December 2025; accepted on 31 December 2025

This paper presents an artificial intelligence (AI) enabled wearable navigation system developed to assist visually impaired individuals with real-time environmental awareness and obstacle avoidance. The system employs an ESP32-CAM and an ultrasonic sensor to detect obstacles and perceive the surrounding environment using YOLOv8-based object detection. Turn-by-turn navigation instructions are obtained from mapping services and converted into speech using gTTS to provide continuous voice guidance. By combining multi-sensor inputs with real-time processing, the proposed system improves user safety, autonomy, and mobility in everyday navigation.

ESP32-CAM; Yolov8; Assistive Navigation; Ultrasonic Sensor; Smart Glasses; AI-Based Obstacle Detection; Wearable Technology.

https://journalijsra.com/sites/default/files/fulltext_pdf/IJSRA-2025-3372.pdf

Preview Article PDF

Naseer R, Manjunath C P, Ramanand K Bhatte, Seeta and Yuvraj S. Wearable Navigation Aid for Visually Impaired People Using AI. International Journal of Science and Research Archive, 2025, 17(03), 1169-1175. Article DOI: https://doi.org/10.30574/ijsra.2025.17.3.3372

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


All statements, opinions, and data contained in this publication are solely those of the individual author(s) and contributor(s). The journal, editors, reviewers, and publisher disclaim any responsibility or liability for the content, including accuracy, completeness, or any consequences arising from its use.

Get Certificates

Get Publication Certificate

Download LoA

Check Corssref DOI details

Issue details

Issue Cover Page

Editorial Board

Table of content

          

   

Copyright © 2026 International Journal of Science and Research Archive - All rights reserved

Developed & Designed by VS Infosolution