Recognition of Medicine using CNN for Visually Impaired

R. Mónica, K. Nirmala, B. Divya, L. Suganthi
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引用次数: 3

Abstract

Giving blind people with great accessibility to their environment is of great demand. People with visual impairments experience a lot of problem in using the modern assistive device that limits their daily basic activities. The level of assistance provided of these special aids does not meet the consumer requirements and not affordable by the every section of the society. To overcome the some of the limitations of the existing visual aids, in this paper we present the work that helps the visually impaired person with smart glasses to identify the medicine. The name of the medicine can be read by the smart glass system that provides audio signal through the ear phones. The smart glass system reads the medicine name using Convolutional neural network
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使用CNN对视障人士进行医学识别
为盲人提供无障碍的环境是非常需要的。视障人士在使用现代辅助设备时遇到很多问题,限制了他们的日常基本活动。这些特别援助提供的援助水平不符合消费者的要求,也不是社会各阶层都负担得起的。为了克服现有视觉辅助设备的一些局限性,在本文中,我们介绍了帮助视障人士使用智能眼镜识别药物的工作。通过耳机提供音频信号的智能玻璃系统可以读取药物名称。智能玻璃系统使用卷积神经网络读取药物名称
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