摘要
智慧医疗是我国医疗界备受关注的领域之一,智能送药设备是其中重要组成部分。智能送药设备可以避免人为原因导致药品发送延误,提高工作效率,保证工作质量。在疫情期间,更是可以有效减少医务人员感染的风险。文章设计了一款基于CNN+OpenCV的智能送药设备,以树莓派3B+作为主控芯片,使用五路灰度传感器等硬件模块,采用Dijkstra算法实现最短路径、OpenCV进行图像处理、CNN实现数字识别,模拟了医院病房送药任务。经过多次测试,设备均能高效地完成送药任务。
Smart healthcare is one of the highly regarded fields in the medical industry in China,and intelligent medication delivery device is an important component within this domain.The device can prevent delays in medication delivery caused by human errors,improve work efficiency and ensure the work quality.During epidemic situation,it can effectively reduce the risk of infection for healthcare workers.This paper designs an intelligent medication delivery device based on CNN+OpenCV.It utilizes the Raspberry Pi 3B+as the main control unit,uses five-channel grayscale sensors and other hardware modules.It adopts the Dijkstra's algorithm to achieve the shortest path,uses OpenCV for image processing,utilizes CNN to achieve numerical recognition,and simulates medication delivery tasks in hospital wards.Through multiple tests,the device has consistently and efficiently completed medication delivery tasks.
作者
张秉文
张岳
何西远
ZHANG Bingwen;ZHANG Yue;HE Xiyuan(School of Information Engineering,Shandong Youth University of Political Science,Ji'nan 250103,China)
出处
《现代信息科技》
2024年第4期175-179,共5页
Modern Information Technology
基金
山东青年政治学院校级应用型科研项目(2021yyx-yb05)。
