Loading

Communication Assistant for Deaf, Dumb and Blind
Rajyashree1, O. Deepak2, Naresh Rengaswamy3, K. S. Vishal4

1Rajyashree, Assistant Professor, Department of Computer Science Engineering, SRM Institute of Science and Technology, (Tamil Nadu), India.
2O. Deepak, Student, Department of Computer Science Engineering, SRM Institute of Science and Technology, (Tamil Nadu), India.
3Naresh Rengaswamy, Student, Department of Computer Science Engineering, SRM Institute of Science and Technology, (Tamil Nadu), India.
4K. S. Vishal, Student, Department of Computer Science Engineering, SRM Institute of Science and Technology, (Tamil Nadu), India.
Manuscript received on 10 October 2019 | Revised Manuscript received on 19 October 2019 | Manuscript Published on 02 November 2019 | PP: 94-98 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B10150982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1015.0982S1119
Open Access | Editorial and Publishing 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: Tending to the issues of people with vocal, visual and hearing troubles through a solitary helping framework is a difficult task. Numerous researches focus on tending to the issues of one of the above difficulties yet not all. Thanks to technology, this paper focuses on achieving the best technique that helps the visually impaired by letting them listen what is represented as text as well as feel it in braille which is achieved using a device that can understand the image and converts the content and present it as sounds. Using the speech to text conversion technique, on-screen text provides a better way for the people with Hearing impairment to visually read which is in audio. The vocally impaired people can interact with normal people using our work which recognizes sign languages and converts them into on-screen text as well as audio sounds. This single unique system powered by Raspberry Pi is designed to support all these three solutions.
Keywords: Deaf, Dumb, Blind, Braille Device, Python Tesseract, Bluetooth, Speech to Text, Text to Speech.
Scope of the Article: 6G Communication