Work

Voice Navigation System For Visually Impaired

Year: 2024

Type: article

Abstract: The main goal of the project is to assist blind and visually impaired individuals in safely navigating outdoor environments. It introduces a camera-based navigation system that overcomes the limitations of existing systems, such as high costs and reliance on external services. By employing deep learning algorithms, the technology can identify and detect obstacles in real time, providing immediate guidance through voice assistance. This adaptable and independent architecture allows the system to function effectively across different settings, enhancing the independence and safety of visually impaired individuals outdoors. Overall, the project represents a substantial advancement in inclusive and dependable navigation assistance for this user group.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.13318714

Authors: Bimal Mohan, Edwin Thomas, Muhammed Ashik V A, Vinay M

Language: English

Topic: Assistive Technology in Communication and Mobility

Subfield: Occupational Therapy

Field: Health Professions

Domain: Health Sciences

SDGs: Industry, innovation and infrastructure, Reduced inequalities

Open Access status: green

OpenAlex ID: W6892860325

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