ITM Web Conf.
Volume 44, 2022International Conference on Automation, Computing and Communication 2022 (ICACC-2022)
|Number of page(s)
|05 May 2022
Smart Navigation for Visually Impaired people using Artificial Intelligence
1 Department of Computer Engineering, Ramrao Adik Institute of Technology, D Y Patil Deemed to be University, Navi Mumbai
2 Department of Computer Engineering, Ramrao Adik Institute of Technology, D Y Patil Deemed to be University, Navi Mumbai
3 Department of Computer Engineering, Ramrao Adik Institute of Technology, D Y Patil Deemed to be University, Navi Mumbai
* Corresponding author: email@example.com
This research introduces a blind aid that uses a live object recognition system. People who are blind or partially sighted rely significantly on their other senses, such as touch and auditory cues, to comprehend their surroundings. There is a need to deploy a technology that assists visually impaired persons in their daily routines, as there is now very little aid. Existing solutions, such as Screen Reading software and Braille devices, assist visually impaired individuals in reading and gaining access to numerous gadgets. However, these technologies are rendered worthless When the blind need to perform basic activities like recognizing the situation before them, such as recognizing people or objects, technologies become ineffective. This method will benefit blind or visually challenged all across the world. The goal is to help a person with total or partial blindness obtain a second set of eyesight without the assistance of a guardian, allowing them to live a better and more independent life. This project outlines working to create a more welcoming and inclusive environment, focusing on assistive technology that provides services, resources, and information to those with visual disabilities.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.