A Literature Survey on Vision Assistance System Based on Binocular Sensors for Visually Impaired Users

https://doi.org/10.55529/jaimlnn.24.33.42

Authors

  • A. Manikandan Assistant Professor, ECE Department, SSM Institute of Engineering and Technology, Dindigul, India

Keywords:

Binocular Vision Sensors, Object Detection, Object Identification, Disparity, Convolutional Neural Network.

Abstract

According to research, in 2015, there were an estimated 253 million people with visual impairment worldwide. Of these, 36 million were completely blind and a further 217 million had moderate to severe visual impairment (MSVI). This forms a considerable part of the population if you look at it. But the visually impaired still face a lot of difficulties in just going about their daily life. Most have to rely on the people around, on a basic walking cane or on a guide dog. This takes away a good part of their independence as they have to rely on someone for their basic needs. Many wearable technologies have been proposed to assist the visually impaired in their daily routines in order to solve this problem. This paper is an attempt to comprehend all of the past research done on the subject.

Published

2022-07-29

How to Cite

A. Manikandan. (2022). A Literature Survey on Vision Assistance System Based on Binocular Sensors for Visually Impaired Users. Journal of Artificial Intelligence,Machine Learning and Neural Network , 2(04), 33–42. https://doi.org/10.55529/jaimlnn.24.33.42

Similar Articles

1 2 3 4 5 > >> 

You may also start an advanced similarity search for this article.