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Notice of retraction
Vol. 34, No. 8(3), S&M3042

Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

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Sensors and Materials, Volume 36, Number 12(2) (2024)
Copyright(C) MYU K.K.
pp. 5283-5298
S&M3867 Research Paper of Special Issue
https://doi.org/10.18494/SAM5244
Published: December 20, 2024

Smart-sensors-based Medicine Identification System [PDF]

Ya-Hui Kuo, Cheng-Yan Siao, Tzu-Ling Li, Ching-Jen Wang, Hui-Chuan Lin, Yi-An Chen, Chia-Hui Liu, and Rong-Guey Chang

(Received July 17, 2024; Accepted December 10, 2024)

Keywords: medicine identification, intersection over union, fast healthcare interoperability resources, object detection

Medication errors have long accounted for the majority of medical errors. The most significant cause of medication errors is human factors. Medical staff may give the wrong medicine during the medicine distribution process. In this paper, we discuss a medicine identification system to replace medical personnel dispensing medicine. In the medicine identification system, we classify and identify medicine on the basis of shape, color, and imprint data sets. In addition, we transplanted the medicine recognition hardware mechanism to the mobile nursing work vehicle so that medical staff can save time in distributing medicines at designated locations. The medicine identification results showed that the identification rate of various medicine types is markably high, and the probability of medicine identification errors is reduced to 34%.

Corresponding author: Cheng-Yan Siao


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Cite this article
Ya-Hui Kuo, Cheng-Yan Siao, Tzu-Ling Li, Ching-Jen Wang, Hui-Chuan Lin, Yi-An Chen, Chia-Hui Liu, and Rong-Guey Chang, Smart-sensors-based Medicine Identification System, Sens. Mater., Vol. 36, No. 12, 2024, p. 5283-5298.



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