Department of Computer Science and Engineering Bapuji Institute of Engineering and Technology (BIET), Davangere, Karnataka, India.
International Journal of Science and Research Archive, 2025, 17(03), 1169-1175
Article DOI: 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.
Get Your e Certificate of Publication using below link
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 © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0
