This paper is published in Volume-4, Issue-2, 2018
Area
Embedded Systems
Author
Dr. B. Muthusenthil
Co-authors
Joshuva J, Kishore S, Narendiran K
Org/Univ
Valliammai Engineering College, Kattankulathur, Tamil Nadu, India
Pub. Date
27 March, 2018
Paper ID
V4I2-1339
Publisher
Keywords
Raspberry Pi, Web Cam, Optical Character Recognition, Text to Speech Engine, Audio Amplifier.

Citationsacebook

IEEE
Dr. B. Muthusenthil, Joshuva J, Kishore S, Narendiran K. Smart Assistance for Blind People using Raspberry Pi, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Dr. B. Muthusenthil, Joshuva J, Kishore S, Narendiran K (2018). Smart Assistance for Blind People using Raspberry Pi. International Journal of Advance Research, Ideas and Innovations in Technology, 4(2) www.IJARIIT.com.

MLA
Dr. B. Muthusenthil, Joshuva J, Kishore S, Narendiran K. "Smart Assistance for Blind People using Raspberry Pi." International Journal of Advance Research, Ideas and Innovations in Technology 4.2 (2018). www.IJARIIT.com.

Abstract

This paper addresses the integration of a complete Text Read-out system designed for the visually challenged. The system consists of a webcam interfaced with raspberry pi which accepts a page of printed text. The OCR (Optical Character Recognition) package installed in raspberry pi scans it into a digital document which is then subjected to skew correction, segmentation, before feature extraction to perform classification. Once classified, the text is readout by a text to speech conversion unit (TTS engine) installed in raspberry pi. The output is fed to an audio amplifier before it is read out. The simulation is just an initiation of image processing i.e. the image to text conversion and text to speech conversion done by the OCR software installed in raspberry pi. The system finds interesting applications in libraries, auditoriums, offices where instructions and notices are to be read and also in assisted filling of application forms.By using ultrasonic sensor we will measure the distance between the blind people and obstacle then the distance will be played through ear phones.
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