Proceedings of the International Conference on Materials, Energy, Environment & Manufacturing Sciences & Computational Intelligence and Smart Communication (MEEMS-CISC-2024)

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Affordable Camera-Based Assistive Navigation System for Visually Impaired Individuals

Authors
Ananya A. Poojary1, *, Akshata Ravindra Shet1, S. R. Nisarga1, Abhishek A. Shetty1, Rajesh Nayak1
1Department of Artificial Intelligence and Data Science, Shri Madhwa Vadiraja Institute of Technology and Management, Vishwothama Nagar, Bantakal, 574115, Udupi, India
*Corresponding author. Email: ananyaarunpoojary@gmail.com
Corresponding Author
Ananya A. Poojary
Available Online 16 June 2025.
DOI
10.2991/978-94-6463-762-5_15How to use a DOI?
Keywords
Computer Vision; Depth Estimation; Real-time Navigation; Visually Impaired Assistance; Voice Feedback System
Abstract

Navigating safely and independently is a significant challenge for visually impaired individuals, especially in crowded or unfamiliar environments. By creating a real-time navigation tool intended to improve mobility and independence, our work tackles this problem. The system employs a single camera to capture visual data, which is processed using advanced object recognition and spatial awareness techniques. It detects obstacles, estimates distances, and provides audio-based feedback to guide users safely through various settings. By integrating these functionalities into a simple and cost-effective design, the solution remains accessible and affordable for broader adoption.

This work focuses on real-time processing to ensure seamless navigation assistance, offering timely alerts about potential collisions or hazards. It demonstrates the potential of camera-based assistive technologies to bridge gaps in mobility for the visually impaired, promoting a safer and more autonomous lifestyle. With its user-centric design and innovative application of visual processing, this navigation aid aspires to be a practical and impactful tool in enhancing the independence and confidence of its users.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Materials, Energy, Environment & Manufacturing Sciences & Computational Intelligence and Smart Communication (MEEMS-CISC-2024)
Series
Advances in Engineering Research
Publication Date
16 June 2025
ISBN
978-94-6463-762-5
ISSN
2352-5401
DOI
10.2991/978-94-6463-762-5_15How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Ananya A. Poojary
AU  - Akshata Ravindra Shet
AU  - S. R. Nisarga
AU  - Abhishek A. Shetty
AU  - Rajesh Nayak
PY  - 2025
DA  - 2025/06/16
TI  - Affordable Camera-Based Assistive Navigation System for Visually Impaired Individuals
BT  - Proceedings of the International Conference on Materials, Energy, Environment & Manufacturing Sciences & Computational Intelligence and Smart Communication (MEEMS-CISC-2024)
PB  - Atlantis Press
SP  - 159
EP  - 167
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-762-5_15
DO  - 10.2991/978-94-6463-762-5_15
ID  - Poojary2025
ER  -