基于机器视觉的药盒识别系统的设计与开发

Jiamin Huang, Ming Yan, Jiacheng Zhou, Xiaojun Zhang, YuJie Jiang, Zhi Tao
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引用次数: 0

摘要

随着中国人口老龄化和对盲人等弱势群体关爱意识的增强,如何保证独居状态下的用药安全越来越受到关注。提出了一种家用药箱的智能识别方法。对相机拍摄的图像进行预处理后,准确确定药品名称位置。然后该算法对字符进行识别,并将其输入数据库进行检索。根据检索到的语音信息,算法告诉用户药物的名称和使用方法。实验结果表明,本文所采用的方法对市场上常见药品包装盒的信息有较高的识别率,具有良好的推广价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Development of a Medicine Box Recognition System Based on Machine Vision
With the aging Chinese population and the increasing awareness of caring for vulnerable groups such as the blind, how to ensure the safety of medication in the state of living alone has attracted increasing attention. This paper proposes an intelligent recognition method for home medicine boxes. The drug name position is accurately determined after we preprocess the image photographed by the camera. Then the algorithm recognizes the character and puts it into a database for retrieval. According to the information from the retrieved speech, the algorithm tells the user the name of the drug and how to use it. The experimental results show that the method adopted in this paper has a high recognition rate for the information of common drug boxes in the market and a good promotional value.
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