Open AccessThird Eye A Writing Aid for Visually Impaired People
Author(s) -
M.S Divya Rani,
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Ms. T K Padma Gayathri,
Ms. Sreelakshmi Tadigotla,
Syed Abrar Ahmed,
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Publication year - 2022
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.f6804.0310622
Subject(s) - braille , alphanumeric , computer science , trainer , reading (process) , scope (computer science) , task (project management) , writing system , human–computer interaction , multimedia , artificial intelligence , engineering , linguistics , operating system , systems engineering , programming language , philosophy
In olden eras, Braille technology was developed to eradicate the darkness of visually impaired people (Divyanjan) which made them to gain knowledge for proper interaction with the world. Students who read braille can also write braille. Using a variety of low- or high-tech devices, the trainer of students with visually challenged can use braille translation software, which converts the braille into conventional text and prints it. But recognizing the dots on the braille slate and writing the letters is a difficult task faced by many blind kids. Hence the major scope of this proposed project work is to develop a Smart writing system for blind that overcomes many complications faced by a blind child between the age 3-8 years and also to helps them to read and write a standard alphanumeric characters. Henceforth helping them to read and write like a person without disability. Therefore, the project aims to design a writing and reading system for visual impaired person mainly alphanumeric characters. The proposed idea is implemented on Raspberry Pi 4 model interfaced with Speaker and a display unit. Deep Learning algorithms namely CNN is used to recognize the scribbled handwritten text/digits. Overall Performance analysis is made by using MNIST dataset.