Third Eye – A Writing Aid for Visually Impaired People
M.S Divya Rani1, T K Padma Gayathri2, Sreelakshmi Tadigotla3, Syed Abrar Ahmed4
1Dr. M.S Divya Rani*, Assistant Professor, Department of Electronics & Communication Engineering, Presidency University, Bengaluru, Karnataka India.
2Ms. T K Padma Gayathri, Assistant Professor, Department of Electronics and Communication Engineering, Sir M Visvesvaraya Institute of Technology, Bengaluru, Karnataka, India.
3Ms. Sreelakshmi Tadigotla, Assistant Professor, Department of Electronics and Communication Engineering, Sir M Visvesvaraya Institute of Technology, Bengaluru, Karnataka, India.
4Syed Abrar Ahmed, Assistant Professor, Department of Electronics and Communication Engineering, Sir M Visvesvaraya Institute of Technology, Bengaluru, Karnataka, India.
Manuscript received on January 31, 2022. | Revised Manuscript received on February 10, 2022. | Manuscript published on March 30, 2021. | PP: 15-20 | Volume-10 Issue-6, March 2022. | Retrieval Number: 100.1/ijrte.F68040310622 | DOI: 10.35940/ijrte.F6804.0310622
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: CNN (Convolutional Neural Networks), SVM(Support Vector Machine) KNN (K- nearest neighbor)
Scope of the Article: Optical communication