论文标题
视力障碍者的钞票认可（埃塞俄比亚案件）
Banknote Recognition for Visually Impaired People (Case of Ethiopian note)
论文作者
论文摘要
货币几乎在任何地方都用于促进业务。在大多数发展中国家，尤其是非洲的发展中国家，有形票据主要用于日常金融交易。这些国家之一，埃塞俄比亚，被认为具有世界上最高的失明率之一（1.6％）和低视力（3.7％）。大约有400万视觉障碍的人；有170万人完全视力丧失。这些人在汽车站，购物中心或需要物有所需交换的任何地方时都面临许多挑战。在本文中，我们尝试使用AI/ML应用程序为此问题提供解决方案。我们开发了一个Android和iOS兼容的移动应用程序，其模型在数据集中达到了98.9％的分类精度。该应用程序具有一个语音集成功能，该功能讲述了埃塞俄比亚的工作语言Amharic扫描货币的类型。该应用程序的开发为其用户很容易访问。这是为了减轻埃塞俄比亚的视障人士的负担。
Currency is used almost everywhere to facilitate business. In most developing countries, especially the ones in Africa, tangible notes are predominantly used in everyday financial transactions. One of these countries, Ethiopia, is believed to have one of the world highest rates of blindness (1.6%) and low vision (3.7%). There are around 4 million visually impaired people; With 1.7 million people being in complete vision loss. Those people face a number of challenges when they are in a bus station, in shopping centers, or anywhere which requires the physical exchange of money. In this paper, we try to provide a solution to this issue using AI/ML applications. We developed an Android and IOS compatible mobile application with a model that achieved 98.9% classification accuracy on our dataset. The application has a voice integrated feature that tells the type of the scanned currency in Amharic, the working language of Ethiopia. The application is developed to be easily accessible by its users. It is build to reduce the burden of visually impaired people in Ethiopia.
