Text Reader for Visually Impaired Using Google Cloud Vision API

Text Reader for Visually Impaired Using Google Cloud Vision API
Author(s):
Yash Shirke, Paras Doshi, Tejas Hegde, Pranav Dhanvij
Keywords:
OCR, Google Cloud Vision API, Text to Speech, Raspberry Pi.
Abstract
Visually impaired people confront a number of visual challenges every day – from reading the label on a frozen dinner to figuring out if they’re at the right bus stop. Probable solutions include Braille wherein tactile information is converted into meaningful patterns. Other visual aids include liquid level indicators, coin sorters and large button telephones for daily living; electronic magnifiers, audio books, text to voice technology as a technological aid. Our aim through this paper is to propose a system that facilitates reading for a blind person. With the help of our system, we extract text from images using google cloud vision API. Our approach is capable of recognizing text in various challenging conditions where traditional OCR systems fail; in the presence of blur, low resolution, low contrast, high image noise, and distortions. The output text is converted into audio output in the form of synthetic speech. Thus, our proposed system will be very helpful to visually impaired person
Article Details
Unique Paper ID: 146508 Publication Volume & Issue: Volume 4, Issue 12 Page(s): 869 - 873
Article Preview & Download

Share This Article

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org