Open AccessAssistant for the guest with visually impaired using Deep Learning
Author(s) -
A Priya,
M Shalini,
T Suganti,
M. Swetha
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1916/1/012063
Subject(s) - braille , reading (process) , computer science , visually impaired , software , screen reader , text recognition , artificial intelligence , speech recognition , multimedia , human–computer interaction , natural language processing , image (mathematics) , programming language , linguistics , operating system , philosophy
The lack of Braille resources in this advanced world has tied the hands of visually impaired people from soaring up. This paper takes those guests into concern and presents a solution that helps every individual especially the blinds in reading books and text from real time images. This solution converts the text obtained from text document and real world entities to aural output which lends a hand in reading text. The main idea is to build a software using a novel methodology where OCR engine receives input images and get converted into intermediate textual output that is given to Google Trans to get the audio output via earphones.