Design of automated reader for blind person

V.D Alagdeve, Shubham Khandare *, Pratik Wankhede, Gulshan Pathode, Mayuri Nimje and Shruti Counder

Department of Electronics Engineering Yeshwantrao Chavan College of Engineering, Nagpur, Maharashtra, India.
 
Review
International Journal of Engineering Research Updates, 2023, 04(02), 015–019.
Article DOI: 10.53430/ijeru.2023.4.2.0016
Publication history: 
Received on 10 January 2023; revised on 21 February 2023; accepted on 24 February 2023
 
Abstract: 
This work introduces smart reader by using Raspberry Pi. The system consists of a camera interfaced with computer which receives the printed or hand written text. This work proposes the novel implementation of smart book reader with raspberry pi controller. The system consists of a webcam interfaced with raspberry pi which accepts a page of printed text. The experimental results are done with the help of raspberry pi controller. Controller coding for the Raspberry pi is done through PYTHON language. The audio output is obtained after the captured image is converted to text. The image captured by the camera is converted to text and displayed in the form window and then the text is obtained as audio output. Raspberry pi has the audio port where the output can be heard through the headphone or the speaker. Once the image is converted to text raspberry pi takes few milliseconds to convert it as a voice output. This system is validated with both simulation and experimental verification it achieves the text document is converted with speech for the use of visually impaired people.
 
Keywords: 
Raspberry Pi; Tesseract OCR engine; Python based TTS Synthesizer; Speaker; Image Processing; Semantic Check; Raspberry pi Operating System
 
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