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机构地区:[1]武汉商学院信息工程学院,湖北 武汉
出 处:《计算机科学与应用》2022年第12期2994-3009,共16页Computer Science and Application
摘 要:随着图像识别技术的快速发展,图像识别技术的应用场景也越来越多样化,基于CV的应用产品也越来越多,而现在在疫情的大环境下,医护人员的工作压力也越来越大,而我们暂未发现能够解决在疫情这个大环境下医院和药房等所面临问题的产品,故本篇论文基于OpenMV和STM32G474同时结合NCC技术、电机驱动、光电传感器循迹、红外对射检测、无线通信模块设计了一款智能送药小车,既解决了医院人手缺乏的问题,也能避免医患交叉感染的情况,实现医院、药房等药品配送的无人化与智能化。With the rapid development of image recognition technology, the application scenarios of image recognition technology are becoming more and more diverse, and the application products based on CV are increasing, and we have not found products that can solve the problems faced by hospitals and pharmacies in the epidemic environment, so this paper is based on OpenMV and STM32G474 combined with NCC technology, motor drive, photoelectric sensor tracking, infrared through-beam detection, The wireless communication module designs an intelligent drug delivery trolley, which not only solves the problem of lack of manpower in hospitals, but also avoids cross-infection between doctors and patients, and realizes the unmanned and intelligent distribution of drugs in hospitals and pharmacies.
关 键 词:OpenMV NCC STM32G474 药物配送 智能小车
分 类 号:TP23[自动化与计算机技术—检测技术与自动化装置] TP391.41[自动化与计算机技术—控制科学与工程]
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