Conference Proceedings
The International Conference on Emerging Technologies in Electronics, Computing and Communication 2022
(ICETECC`22)
Advanced Audio Aid for Blind People
Savera Sarwar1; Muhammad Turab2; Aisha Chandio3; Danish Channa1; M. Uzair Sohu4; Vikram Kumar5*;| 1Department of Electronics Engineering, Quaid-e-Awam University of engineering science and Technology Campus Larkana 2Department of Computer Systems Engineering, Mehran university of engineering and technology, jamshoro 3Department of computer science, Quaid-e-Awam University of engineering science and Technology, Nawabshah 4Department of Electrical Engineering, Quaid-e-Awam University of Engineering science and Technology Campus Larkana |
ABSTRACT
One of the most important senses in human life is vision, without it one’s life is totally filled with darkness. According to WHO globally millions of people are visually impaired estimated there are 285 million, of whom some millions are blind. Unfortunately, there are around 2.4 million people are blind in our beloved country Pakistan. Human are a crucial part of society and the blind community is a main part of society. The technologies are grown so far to make the life of humans easier more comfortable and more reliable for. However, this disability of the blind community would reduce their chance of using such innovative products. Therefore, the visually impaired community believe that they are burden to other societies and they do not capture in normal activities separates the blind people from society and because of this believe did not participate in the normally tasks of society . The visual impair people mainly face most of the problems in this real-time The aim of this work is to turn the real time world into an audio world by telling blind person about the objects in their way and can read printed text. This will enable blind persons to identify the things and read the text without any external help just by using the object detection and reading system in real time. Objective of this work:i) Object detection ii) Read printed text, using state-of-the-art (SOTA) technology.