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Raspberry-Pi Based Assistive Device for Deaf, Dumb and Blind People


Shiyam Raghul. M, Surendhar. K, Suresh. N, R. Hemalatha
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Addressing the issues of People with Visual, Hearing and Vocal Impairment through a single aiding system is a tough job . Many modern day researches focus on addressing the issues of one of the above challenges but not all. The work focuses on finding a unique technique that aids the visually impaired by letting them hear what is represented as text and it is achieved by the technique that captures the image through a camera and converts the text available as voice signals. The paper provides a way for the people with Hearing impairment to visualize / read which is in audio form by speech to text conversion technique and we also provides a way for the vocally impaired to represent their voice by the aid of text to voice conversion technique. All these three solutions were modulated to be in a single unique system. All these activities are coordinated with the use of Raspberry Pi. The visually impaired people are helped by the process in which the image to text and text to speech is given by the Tesseract OCR (online character recognition). The deaf people help with the process of an app which makes them to understand what the person says can be displayed as the message. Vocally impaired people can convey their message by text so the other persons can hear the message in a speaker.

Shiyam Raghul. M, Surendhar. K, Suresh. N, R. Hemalatha

Raspberry-pi, Assistive device, Tesseract Optical Character Recognition OCR, espeak, OpenCV,Google API.

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Publication Details

Published in : Volume 2 | Issue 2 | March-April - 2016
Date of Publication Print ISSN Online ISSN
2016-04-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
167-174 IJSRSET162248   Technoscience Academy

Cite This Article

Shiyam Raghul. M, Surendhar. K, Suresh. N, R. Hemalatha, "Raspberry-Pi Based Assistive Device for Deaf, Dumb and Blind People", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 2, pp.167-174, March-April-2016.
URL : http://ijsrset.com/IJSRSET162248.php