Enhanced AI-Based Navigation System for The Visually Impaired

  • Azubuike Nzubechukwu Aniedu Department of Electronic and Computer Engineering, Nnamdi Azikiwe University Awka, Anambra State, Nigeria
  • Sandra Chioma Nwokoye Department of Electronic and Computer Engineering, Nnamdi Azikiwe University Awka, Anambra State, Nigeria
  • Chukwunenye Sunday Okafor Department of Electronic and Computer Engineering, Nnamdi Azikiwe University Awka, Anambra State, Nigeria
  • Kingsely Anyanwu Department of Electronic and Computer Engineering, Nnamdi Azikiwe University Awka, Anambra State, Nigeria
  • Anthony Nosike Isizoh Department of Electronic and Computer Engineering, Nnamdi Azikiwe University Awka, Anambra State, Nigeria
https://doi.org/10.25139/inform.v10i1.7182
Abstract views: 233 , PDF downloads: 163
Keywords: Visual Impairment, Computer Vision, Raspberry Pi, Tensor Flow, AI-based

Abstract

This work introduces an Artificial intelligence (AI) based navigation system using the Raspberry Pi single-board computer. Its primary aim is to assist visually impaired users with precise navigation, achieved through machine learning algorithms for object detection. The development follows an agile methodology, emphasizing flexibility. The work explores integrating essential technologies into a system divided into two major subsystems: hardware and software. The hardware subsystem consists of a Raspberry Pi processor, a camera, an ultrasonic sensor, and a power source, collecting data on road conditions and traffic. The software employs TensorFlow and OpenCV to process data and provide optimized routes. The processed images were classified and identified using the YOLOv3 algorithm. The ultrasonic sensor could measure object distance with about 99.8% accuracy correctly. The test results demonstrate that the AI-based navigation system enhances user experiences and interaction with their environment by simplifying transportation and delivering accurate routes. It effectively analyzes and processes data obtained from the environment, improving accessibility for visually impaired individuals. The work concludes by discussing potential applications and future directions for AI-based navigation systems. It highlights the importance of affordable and accessible technology in improving transportation infrastructure, showcasing the potential for low-cost technology to enhance accessibility and mobility.

Author Biographies

Azubuike Nzubechukwu Aniedu, Department of Electronic and Computer Engineering, Nnamdi Azikiwe University Awka, Anambra State, Nigeria

Dr. Azubuike Nzubechukwu Aniedu is the Director, Information and Communication Technology (DICT, Software Services) at Nnamdi Azikiwe University, where he had also previously headed several arms of that directorate for over 10 years. He is also a senior lecturer and researcher in the Department of Electronic and Computer Engineering, UNIZIK, with major research interests in computer and control engineering, Machine learning, Data Science, and computer networks. He is an avid lover of technology and a tech enthusiast. He has been involved in designing and deploying network and internet infrastructure and drafting ICT policies and documentation within the university communities and environs for almost 15 years. He holds a Ph.D. in Computer and Control Engineering from Nnamdi Azikiwe University Awka, a graduate of the Institute of Data, Systems, and Society, MIT USA, plus other degrees and certifications from world-class institutions. A fellow of NSIG/PRIDA , Senior Member IEEE, IEEE Entrepreneurship Ambassador, a consultant with IEEE Consultants Network, a prime member of NAU Genomics and Bioinformatics Consortium, and member of Multistakeholder Advisory Group of Nigeria Internet Governance Forum among others. He is a registered engineer with COREN, and a member of several professional associations including the Internet Society (ISOC), the Institute of Electrical Electronic Engineering (IEEE), the International Association of Engineers (IAENG), and so on. He has served and is still serving as Chair and board member/committee member of various NGOs, committees, and other organizations both within and outside the University. He is an editorial member of several high-impact journals, widely published, and has won several awards and research grants.

Sandra Chioma Nwokoye, Department of Electronic and Computer Engineering, Nnamdi Azikiwe University Awka, Anambra State, Nigeria

Sandra Chioma Nwokoye is a dedicated technologist who plays a pivotal role at Nnamdi Azikiwe University (NAU), contributing her expertise to both the Department of Electronics and Computer Engineering and the ICT unit. She earned her Master's degree in Computer and Control Engineering from NAU, further enhancing her skill set with certificates in digital marketing and project management, both from Google.
Sandra is a registred Engineer with COREN, She is an active member of esteemed professional organizations, including the Association of Professional Women Engineers of Nigeria (APWEN), the Internet Society (ISOC), and the International Association of Engineers (IAENG). Beyond her academic pursuits, Sandra's leadership and organizational abilities shine as she holds the esteemed position of Team Leader for Project Management and Marketing within the ICT unit at NAU.

Chukwunenye Sunday Okafor , Department of Electronic and Computer Engineering, Nnamdi Azikiwe University Awka, Anambra State, Nigeria

Dr. Chukwunenye Sunday Okafor is a LECTURER I in ELECTRONICS AND COMPUTER ENGINEERING Department, Faculty Of Engineering in Nnamdi Azikiwe University.

Kingsely Anyanwu , Department of Electronic and Computer Engineering, Nnamdi Azikiwe University Awka, Anambra State, Nigeria

Anyanwu Kingsely is a Technologist in the department of Electronics and Computer Engineering , Nnamdi Azikiwe University, Awka, Anambra State Nigeria.

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Published
2025-01-01
How to Cite
Aniedu, A. N., Nwokoye, S. C., Okafor , C. S., Anyanwu , K., & Nosike Isizoh, A. (2025). Enhanced AI-Based Navigation System for The Visually Impaired. Inform : Jurnal Ilmiah Bidang Teknologi Informasi Dan Komunikasi, 10(1), 16-20. https://doi.org/10.25139/inform.v10i1.7182
Issue
Vol. 10 No. 1 (2025)
Section
Articles

Copyright (c) 2025 Azubuike Nzubechukwu Aniedu, Sandra Chioma Nwokoye, Chukwunenye Sunday Okafor , Kingsely Anyanwu , Anthony Nosike Isizoh

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