2023
doi: 10.12720/jait.14.6.1214-1220
Smart and Guide Hat for Blind Persons in Smart Cities Using Deep Learning
Tariq S Almurayziq*
,
Naif Alotibi ,
Gharbi Alshammari ,
Abdullah Alshammari ,
Mohammad Alsaffar
- Department of Information and Computer Science, College of Computer Science and Engineering, University of Ha’il, Ha’il 81481, Saudi Arabia
- Manuscript receivedMay 6, 2023
- revisedMay 29, 2023
- acceptedJuly 25, 2023
- publishedNovember 16, 2023
Abstract
In recent years, Artificial Intelligence (AI) technology has evolved significantly and is used in various fields including banking, email management, surgery, etc. The primary objective of the current study is to assist visually impaired (blind) individuals using AI technology. Blindness is a natural occurrence but it need not prevent blind people from experiencing the world similarly to sighted people. They must execute daily tasks such as walking with such precision so that various obstacles do not impede their progress. Typically, a blind individual uses a white cane as a guiding aid to navigate around obstacles. It is difficult, however, to design smart headgear that is both supportive and intelligent in order to provide numerous services that accurately and promptly anticipate obstacles at ground level and in traffic. Technological advances present an opportunity to develop intelligent headwear which helps its wearer to anticipate potential dangers. This paper presents a work-in-progress and analysis of the challenges blind people face when attempting to identify traffic signals, objects, plant types and QR codes on city maps. Through this endeavour, we hope to gain a better understanding of how blind individuals will be able to navigate smart cities.
Keywords
- visual impairments
- disabilities
- artificial intelligence
- smart cities
- deep learning
- voice-activated personal assistant
How to Cite
Tariq S Almurayziq, Naif Alotibi, Gharbi Alshammari, Abdullah Alshammari, and Mohammad Alsaffar, "Smart and Guide Hat for Blind Persons in Smart Cities Using Deep Learning," Journal of Advances in Information Technology, vol. 14, no. 6, pp. 1214-1220, 2023. https://doi.org/10.12720/jait.14.6.1214-1220
Copyright & License
Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
