Abstract
As indicated by the World Health association (WHO), 285 million individuals are evaluated to be outwardly hindered worldwide among which 90% live in creating nations [1]. also, forty five million visually impaired people overall [2]. In spite of the fact that there are numerous current answers for the issue of helping people who are ignorant concerning perused, however none of them give a perusing knowledge that in any capacity parallels that of the located populace. Specifically, there is a requirement for a compact content peruser that is moderate and promptly accessible to the visually impaired group. Consideration of the exceptionally empowered in the IT unrest is both a social commitment and additionally a computational test in the quickly progressing computerized world today. This work proposes a keen peruser for outwardly tested individuals utilizing raspberry pi. This paper tends to the coordination of a total Text Read-out framework intended for the outwardly tested. The framework comprises of a webcam interfaced with raspberry pi which acknowledges a page of printed content. The OCR (Optical Character Recognition) bundle introduced in raspberry pi examines it into a computerized record which is then subjected to skew rectification, division, before include extraction to perform grouping. When ordered, the content is readout by a content to discourse change unit (TTS motor) introduced in raspberry pi. The yield is sustained to a sound enhancer before it is perused out. The reproduction for the proposed undertaking should be possible in MATLAB. The reproduction is only a start of picture handling ie., the picture to content change and content to discourse transformation done by the OCR programming introduced in raspberry pi. The framework finds intriguing applications in libraries, theaters, workplaces where guidelines and notification are to be perused and furthermore in helped filling of use shapes. Results alongside examination are displayed.
Keywords
Raspberry pi, Web Cam, Optical character recognition, Text to Speech Engine, Audio amplifier.
Citations
IRE Journals:
Mrugank Purohit
"A Blind Reader Using Raspberry Pi" Iconic Research And Engineering Journals Volume 1 Issue 10 2018 Page 256-262
IEEE:
Mrugank Purohit
"A Blind Reader Using Raspberry Pi" Iconic Research And Engineering Journals, 1(10)
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