Object Detection Assistance for Visually Impaired People - A Brief Review
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