{"title":"Design of Intelligent Logistics Delivery Experiment Teaching System based on Machine Vision","authors":"Xin Wang, Jintao Chen, Cong Li, Huiying Ma, Zhi Qi, Lihong Song","doi":"10.1109/ICMA54519.2022.9856082","DOIUrl":null,"url":null,"abstract":"Logistics delivery is widely used in many fields. This paper designs an intelligent logistics delivery experimental teaching system based on STM32F103 microcomputer and machine vision sensor. The convolutional neural network model based on improved LeNet-5 is applied to identify information of the destination number. The navigation information can be identified and traced at the same time. All information can be sent to the host computer through the serial port for processing. The experimental results show that the intelligent logistics delivery system can quickly complete the target number recognition and achieve high accuracy. The system has the advantages of low cost, moderate difficulty and stable performance. It has a certain value of experimental teaching and practical application.","PeriodicalId":120073,"journal":{"name":"2022 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Mechatronics and Automation (ICMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMA54519.2022.9856082","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Logistics delivery is widely used in many fields. This paper designs an intelligent logistics delivery experimental teaching system based on STM32F103 microcomputer and machine vision sensor. The convolutional neural network model based on improved LeNet-5 is applied to identify information of the destination number. The navigation information can be identified and traced at the same time. All information can be sent to the host computer through the serial port for processing. The experimental results show that the intelligent logistics delivery system can quickly complete the target number recognition and achieve high accuracy. The system has the advantages of low cost, moderate difficulty and stable performance. It has a certain value of experimental teaching and practical application.
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