Smart Reader for Visually Challenged Using Optical Character Recognition and Text-To-Speech

R. Sowmya, Sushma S. Jagtap, G. Kasthuri
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Abstract

Assistive technology uses assistive, adaptive and rehabilitative devices for people with disabilities. It’s assessed there are about 36 million people with visual impairment in the world and a further 216 million who lead life with moderate to severe visual impairments. Leveraging technology has helped the visually challenged in carrying out tasks on par with the people blessed with vision particularly in the activities of reading and writing. In the proposed work, an image scanning device attached to a microcontroller is designed. This device is designed in the form of hand gloves for ease of usage. The glove with the camera at the fingertip, when rolled over lines of text, scans the information and converts it into digital text with Optical Character Recognition (OCR). The converted digital text is finally read aloud using Text-to-speech synthesis. The results obtained were accurate and met the standards of operability.
使用光学字符识别和文本到语音的视觉障碍智能阅读器
辅助技术为残疾人使用辅助、适应性和康复设备。据估计,全球约有3600万人患有视力障碍,另有2.16亿人生活在中度至重度视力障碍中。利用科技帮助视障人士完成与视力正常人士同等的任务,特别是在阅读和写作方面。本文设计了一种附着在微控制器上的图像扫描装置。本设备设计为手套形式,便于使用。指尖上装有摄像头的手套,当在文本行上滚动时,会扫描信息,并通过光学字符识别(OCR)将其转换为数字文本。转换后的数字文本最后使用文本-语音合成大声朗读。所得结果准确,符合可操作性标准。
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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