Advanced Real Time Embedded Book Braille System

Pub Date : 2023-01-01 DOI:10.12720/jait.14.3.510-517
Vasile Dan, I. Nascu, S. Folea
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引用次数: 0

Abstract

—Reading is an activity that leads to acquiring information and developing a person’s knowledge. Therefore, everyone should have equal access to the same sources of information. Unfortunately, blindness is a disease that restricts the affected people from reading books that are not converted into Braille. This paper describes a novel solution for the real-time conversion of any text into Braille. The system will rely on image processing and a camera to gather the raw text data from any book in physical format. Furthermore, e-books and documents in any digital format, Braille Ready Format (BRF), Portable Embosser Files (PEF), TXT, PDF, or PNG, can be provided for Braille conversion. Image enhancement algorithms, neural networks, and Optical Character Recognition (OCR) algorithms are used to extract accurate content. The process is controlled by a Raspberry Pi 4. A refreshable Braille mechanism, based on an Arduino Due microcontroller, is used to display the dots for each character. The algorithms are implemented to work with the mechanical structure design that was created to reduce the cost and give the user a complete reading experience of any book.
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先进的实时嵌入式图书盲文系统
阅读是一种获取信息和发展个人知识的活动。因此,每个人都应该有平等的机会获得相同的信息来源。不幸的是,失明是一种疾病,它限制了受影响的人阅读没有转换成盲文的书籍。本文描述了一种将任何文本实时转换为盲文的新颖解决方案。该系统将依靠图像处理和摄像头从任何物理格式的书籍中收集原始文本数据。此外,电子书和文件在任何数字格式,盲文格式(BRF),便携式压花文件(PEF), TXT, PDF,或PNG,可以提供盲文转换。图像增强算法、神经网络和光学字符识别(OCR)算法用于提取准确的内容。该过程由树莓派4控制。一个可刷新的盲文机制,基于Arduino Due微控制器,用于显示每个字符的点。这些算法是为了配合机械结构设计而实现的,旨在降低成本,并为用户提供完整的阅读体验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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