Tuesday, 10 Dec, 2024

+91-9899775880

011-47044510

011-49075396

Object Detection Assistance for Visually Impaired People - A Brief Review

Journal of Network and Information Security

Volume 10 Issue 2

Published: 2022
Author(s) Name: Aayushi Balothiya, Amol Paliwal and Nisha Rathi | Author(s) Affiliation: Acropolis Institute of Technology and Research, Indore, Madhya Pradesh, India.
Locked Subscribed Available for All

Abstract

One of our most vital senses is sight because it accounts for 80% of all information, we take in. This paper is a systematic literature review about object detection for visually impaired people, in which the work done covers 20+ research papers related to this topic and provides answers to different research questions to provide the reader with an easily readable summarized overview of the papers related to this topic. The YOLO approach has many advantages over other methods of object detection. When compared to other algorithms, the YOLO algorithmic system fully scans a picture by anticipating binding boxes via a network of communication and the potential for these boxes. Additionally, the YOLO algorithm’s architecture and functioning are presented in this study.

Keywords: Convolution, Neural network, YOLO.

View PDF

Refund policy | Privacy policy | Copyright Information | Contact Us | Feedback © Publishingindia.com, All rights reserved