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