A Survey of Object Classification and Detection Techniques in Assistance Systems for the Visually Impaired
Keywords:Object Detection, Object Identification, Real-Time Systems, Visually Impaired
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.
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Copyright (c) 2024 Mrunmayi Deshpande, Sreenath M V, Shreya Nadella, Nirav Antony, Nivedita Venkat
This work is licensed under a Creative Commons Attribution 4.0 International License.