This paper is published in Volume-5, Issue-2, 2019
Area
Embedded
Author
C. Ebenezer Durai
Co-authors
A. Selvarani, S. Siva Suthan, M. Anwin Kushal
Org/Univ
Panimalar Institute of Technology, Chennai, Tamil Nadu, India
Pub. Date
14 March, 2019
Paper ID
V5I2-1261
Publisher
Keywords
Raspberry Pi, OCR, Camera, Image processing, Tesseract, Voice processing, Obstacle detection, GPS detection

Citationsacebook

IEEE
C. Ebenezer Durai, A. Selvarani, S. Siva Suthan, M. Anwin Kushal. A text reader for the visually impaired using Raspberry Pi, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
C. Ebenezer Durai, A. Selvarani, S. Siva Suthan, M. Anwin Kushal (2019). A text reader for the visually impaired using Raspberry Pi. International Journal of Advance Research, Ideas and Innovations in Technology, 5(2) www.IJARIIT.com.

MLA
C. Ebenezer Durai, A. Selvarani, S. Siva Suthan, M. Anwin Kushal. "A text reader for the visually impaired using Raspberry Pi." International Journal of Advance Research, Ideas and Innovations in Technology 5.2 (2019). www.IJARIIT.com.

Abstract

In this paper, an innovative, efficient and real-time beneficial technique that enables the user to hear the contents of text images instead of reading through them has been introduced. It uses the combination of Optical Character Recognition (OCR) i.e. Tesseract and Text to Speech Synthesizer (TTS) in Raspberry Pi. This kind of system helps visually impaired people to interact with computers and day-to-day text effectively through vocal and keyboard interface. Text-to-Speech is a device that scans and reads English alphabets and numbers that are in the image using the OCR technique and changing it to voices. We are including obstacle detection via ultrasonic sensor and color detection. This device consists of three modules, image processing module, voice processing module and an object detecting module. The device was developed based on Raspberry Pi 3 Model R, Clock Speed of 1.2 GHz.
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