International Journal Of Engineering And Management Research
  • Year: 2024
  • Volume: 14
  • Issue: 1

A survey of object classification and detection techniques in assistance systems for the visually impaired

  • Author:
  • Mrunmayi Deshpande1,*, M V Sreenath2, Shreya Nadella3, Nirav Antony4, Nivedita Venkat5
  • Total Page Count: 8
  • Page Number: 44 to 51

1Final Year Student, Department of CSE, PES University, Bangalore, India

2Assistant Professor, Department of CSE, PES University, Bangalore, India

3Final Year Student, Department of CSE, PES University, Bangalore, India

4Final Year Student, Department of CSE, PES University, Bangalore, India

5Final Year Student, Department of CSE, PES University, Bangalore, India

*Corresponding Author: mrunmayi.deshpande@gmail.com

Online published on 24 June, 2024.

Abstract

The number of visually impaired individuals in the world is estimated to be 1 billion, as per WHO reports. Through a thorough examination of existing assistive technology and research, this paper provides a survey of object classification and detection techniques that are used in assistive technology by visually impaired individuals. We discuss the methodology’s drawbacks, s and functionalities of these techniques, and observe how sufficient they are in meeting the needs and requirements of the targeted users, and how they can be improved. As a result of this study, we identify areas with room for improvement in object detection in the assistive technology domain.

Keywords

Object Detection, Object Identification, Real-Time Systems, Visually Impaired