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Wearable Navigation Aid for Visually Impaired People Using AI

Year: 2025

Type: article

Abstract: 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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.18397726

Authors: Naseer, R, Manjunath, C P, Bhatte, Ramanand K, Seeta, Seeta, Yuvraj, S

Institution: Bapuji Institute of Engineering and Technology

Language: English

Topic: Assistive Technology in Communication and Mobility

Subfield: Occupational Therapy

Field: Health Professions

Domain: Health Sciences

SDGs: Industry, innovation and infrastructure, Good health and well-being

Open Access status: green

OpenAlex ID: W7125957322

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