A Survey of Object Classification and Detection Techniques in Assistance Systems for the Visually Impaired

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.