Oereshi, M.S., Khan, I.U., Qureshi, S.M.B., Khan, F.M. and Aleshaiker, Sama (2023) Empowering the Blind: AI-Assisted Solutions for Visually Impaired People. In: 2023 IEEE International Smart Cities Conference (ISC2), 24-27 Sep 2023, Bucharest, Romania.
Full text not available from this repository.Abstract
Physical disability has an influence on individuals everywhere. One of these disabilities that significantly affect a large number of individuals is visual loss. Basic mobility problems, including as crossing the street, reading, driving, and socializing, are commonly a problem for blind people. To go around or complete other daily duties, they typically need on particular assistance devices, including walking sticks. There is still more work to be done in the field of blindness treatment, despite ongoing scientific research. In addition, research has suggested solutions to the problems faced by blind individuals, but these solutions need the necessary technology support. The goal of this research project is to employ smart devices to make daily routines simpler for blind persons of all categories. This smart gadget can recognize faces, different objects, and colors by employing artificial intelligence and picture processing. The notification of the visually impaired individual results from the detecting procedure and might take the form of a vibration or sound alarm. This study also includes a tangible survey that includes local residents who are blind or visually handicapped. In order to program and implement the project, Open CV and Python are both used. This project prototype's effort looks into the methods that are employed for object detection. It also shows how this smart gadget can recognize certain physical objects and how it may alert the user when faced with hurdles. By helping blind individuals with the use of smart technology, this research will, overall, be a helpful contribution to the field of healthcare.
Item Type: | Conference or Workshop Item (Paper) |
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ISSN: | 2687-8860 |
ISBN: | 9798350397758 |
Identifier: | 10.1109/ISC257844.2023.10293380 |
Identifier: | 10.1109/ISC257844.2023.10293380 |
Subjects: | Computing > Innovation and user experience |
Related URLs: | |
Depositing User: | Marc Forster |
Date Deposited: | 13 Nov 2024 09:49 |
Last Modified: | 13 Nov 2024 09:49 |
URI: | https://repository.uwl.ac.uk/id/eprint/12899 |
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