A Deep Learning Based Wearable Medicines Recognition System for Visually Impaired People

2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS) Pub Date : 2019-03-01 DOI:10.1109/AICAS.2019.8771559

W. Chang, Yue-Xun Yu, Jheng-Hao Chen, Zhi-Yao Zhang, S. Ko, Tsung-Han Yang, Chia-Hao Hsu, Liang-Bi Chen, Ming-Che Chen

引用次数: 12

Abstract

This paper proposes a deep learning based wearable medicines recognition system for visually impaired people. The proposed system is composed of a pair of wearable smart glasses, a wearable waist-mounted drug pills recognition device, a mobile device application, and a cloud-based management platform. The proposed system uses deep learning technology to identify drug pills to avoid taking wrong drugs. The experimental results show that the accuracy of the proposed system has reached up to 90% that can really be achieved the purpose of correct medication for visually impaired people.

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基于深度学习的视障人士可穿戴药物识别系统

提出了一种基于深度学习的视障人士可穿戴药品识别系统。该系统由一副可穿戴智能眼镜、一款可穿戴式腰间药丸识别设备、一款移动设备应用程序和一个基于云的管理平台组成。该系统使用深度学习技术来识别药物，以避免服用错误的药物。实验结果表明，本文提出的系统准确率达到90%以上，能够真正达到视障人士正确用药的目的。

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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2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)

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