智能送药小车的设计与实现

Design And Implementation Of Intelligent Drug Delivery Car

在传染性疾病的治疗过程中,为降低医护人员的感染风险,需要减少医患间的直接接触,2021年全国电子设计大赛中就有一道以此命题的设计项目(F题),针对该题的设计要求和任务,设计并制作了一款智能送药小车。该智能小车采用由K210、OpenMV和STM32共同协作实现相关功能,其中,由K210通过调用深度学习模型来识别房号;OpenMV摄像头通过颜色识别、图像去噪去畸变等算法识别线路;主控芯片STM32根据K210、OpenMV等交互的信息控制小车,完成送药任务。经测试,该设计中的小车在复杂的光照条件下均能准确地识别数字以及线路,最终能很好地完成相关送药任务,完全满足F题的设计要求。

For reducing the direct contact between doctors and patients, and reducing the infection risk of medical staff during the treatment of infectious diseases, the 2021 National Undergraduate Electronics Design Contest proposed a project design requirements. The paper had designed a intelligent drug delivery car based on the design requirements. The intelligent car had adopted the K210, OpenMV and STM32 to realize relevant functions, in which K210 recognized the room number by calling the deep learning model, OpenMV camera recognized the line through color recognition, image denoising and distortion removal algorithms, and the main control chip STM32 controled the car to complete the drug delivery tasks by interacting information with K210 and OpenMV. After testing, the car can accurately identify numbers and lines under complex lighting conditions, and perfectly complete the design requirements of F problem.