Author:
Thiyagarajan S,G.Saravana Kumar Dr,Praveen Kumar E,Sakana G
Abstract
Blind people are unable to perform visual tasks. The majority of published printed works does not include Braille or audio versions, and digital versions are still a minority. In this project, the technology of optical character recognition (OCR) enables the recognition of texts from image data. The system is constituted by the raspberry pi, HD camera and Bluetooth headset. This technology has been widely used in scanned or photographed documents, converting them into electronic copies. The technology of speech synthesis (TTS) enables a text in digital format to be synthesized into human voice and played through an audio system. The objective of the TTS is the automatic conversion of sentences, without restrictions, into spoken discourse in a natural language, resembling the spoken form of the same text, by a native speaker of the language.
Publisher
Science Publishing Corporation
Subject
Hardware and Architecture,General Engineering,General Chemical Engineering,Environmental Engineering,Computer Science (miscellaneous),Biotechnology
Cited by
6 articles.
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1. Raspberry-Pi Based Physical Media to Audio Conversion device for Visually Impaired Individuals;International Journal of Scientific Research in Science, Engineering and Technology;2024-08-29
2. Controlling Mobile Robot Navigation Equipped with Computer Vision Perception for Text using OCR Technique;2024 21st International Multi-Conference on Systems, Signals & Devices (SSD);2024-04-22
3. Camera Detection for Blind People Using OCR;2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE);2023-01-20
4. Recognition of Ancient Tamil Characters from Epigraphical inscriptions using Raspberry Pi based Tesseract OCR;International Journal of Scientific Research in Computer Science, Engineering and Information Technology;2021-03-25
5. Design of an Automatic Reader for the Visually Impaired Using Raspberry Pi;Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences;2021