摘要
无接触送药的方式将减少医护人员与病人交叉接触的次数,从而降低医护人员被感染的概率。针对这种情况,设计了一款基于机器学习的智能送药小车。该小车采用STM32F429单片机作为主控芯片,搭载OpenMV摄像头采集数字信息进行特征点采样分析,单片机对采集到的数据进行Hausdorff算法分析处理,处理后的数据与模板进行NCC模板匹配,完成数字识别的任务,同时智能送药小车采用摄像头搭配循迹模块完成路线规划,蓝牙通讯完成双车协同送药的任务。
Contactless drug delivery can reduce the number of cross contacts between doctors and patients so as to reduce the probability of doctors being infected.In view of this situation,an intelligent drug delivery car based on machine learning is designed.The car adopts STM32F429 single chip microcomputer as the main control chip,carries OpenMV camera to collect digital information for feature point sampling and analysis.The single chip microcomputer analyzes and processes the collected data with Hausdorff algorithm and the processed data is matched with the template for NCC template to complete the task of digital word recognition,At the same time,the intelligent drug delivery car uses camera and tracking module to complete route planning,and Bluetooth communication to complete the task of dual vehicle collaborative drug delivery.
作者
孟兆乐
蒋野
刘增林
Meng Zhaole;Jiang Ye;Liu Zenglin(College of Information and Electronic Technology, Jiamusi University, Jiamusi Liaoning154007, China)
出处
《山西电子技术》
2022年第3期30-33,共4页
Shanxi Electronic Technology
基金
佳木斯大学教育教学改革研究项目(2021JY2-82)。
关键词
送药小车
机器学习
数字识别
双车协同
drug delivery trolley
machine learning
digital identification
dual vehicle cooperation
