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 SiaoThis work is licensed under a Creative Commons Attribution 4.0 International License. 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. |