Robotics & Machine Learning Daily News2024,Issue(Jun.18) :34-34.

Research on Machine Learning Reported by Researchers at University of Engineerin g and Technology (Machine Learning Techniques for Urdu Audio Feedback for Visual Assistance: A Systematic Literature Review)

工程与技术大学研究人员报告的机器学习研究(乌尔都语音频反馈视觉辅助的机器学习技术:系统文献综述)

Robotics & Machine Learning Daily News2024,Issue(Jun.18) :34-34.

Research on Machine Learning Reported by Researchers at University of Engineerin g and Technology (Machine Learning Techniques for Urdu Audio Feedback for Visual Assistance: A Systematic Literature Review)

工程与技术大学研究人员报告的机器学习研究(乌尔都语音频反馈视觉辅助的机器学习技术:系统文献综述)

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-详细介绍了人工智能ce的数据。根据NewsRx记者从巴基斯坦旁遮普省发回的新闻报道,研究表明,“视力受损的人在物体识别和内外布线方面面临许多挑战。”我们的新闻记者从工程与技术大学的研究中得到一句话:“尽管有许多视觉辅助系统,但这些系统大多依赖于英语听觉反馈,这对巴基斯坦人民来说是无效的。”本研究的主要目的是巩固目前有关在巴基斯坦使用乌尔都语听觉反馈进行货币和乌尔都语文本检测的研究,以帮助视力受损的人。本研究对六个数字图书馆进行了全面的搜索。在此基础上,提出了视觉辅助分类法,并提出了一般的建议和潜在的研究方向,采用严格的纳入/排除标准和适当的质量评估方法来减少潜在的偏差。结果表明,该领域的大多数研究都是通过英语语音音频反馈进行导航辅助的。"大多数巴基斯坦人不懂这种语言,使这种系统效率低下."

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on artificial intelligen ce have been presented. According to news reporting originating from Punjab, Pak istan, by NewsRx correspondents, research stated, "Visually impaired individual faces many challenges when comes to object recognition and routing inside or out ." Our news journalists obtained a quote from the research from University of Engin eering and Technology: "Despite the availability of numerous visual assistance s ystems, the majority of these system depends on English auditory feedback, which is not effective for the Pakistani population, since a vast population of Pakis tanis cannot comprehend the English language. The primary object of this study i s to consolidate the present research related to the use of Urdu auditory feedba ck for currency and Urdu text detection to assist a visually impaired individual in Pakistan. The study conducted a comprehensive search of six digital librarie s, resulting in 50 relevant articles published in the past five years. Based on the results, a taxonomy of visual assistance was developed, and general recommen dations and potential research directions were provided. The study utilized firm inclusion/exclusion criteria and appropriate quality assessment methods to mini mize potential biases. Results indicate that while most research in this area fo cuses on navigation assistance through voice audio feedback in English, the majo rity of the Pakistani population does not understand the language rendering such systems inefficient."

Key words

University of Engineering and Technology/Punjab/Pakistan/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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