{"title":"条码识别技术在机场行李查验中的应用","authors":"Xue Zhao, Yingrui Hu","doi":"10.1109/AIID51893.2021.9456592","DOIUrl":null,"url":null,"abstract":"Barcodes were first proposed by N.T. Woodland in 1949. In recent years, with the popularization of computer applications, bar codes have been widely used. For example, in the airport baggage check-in process, bar codes are used to mark luggage. In this paper, the airport baggage monitoring robot based on bar code recognition is studied and proposed. The overall concept of building the robot is to use the OpenMV camera to obtain the RGB image of the baggage claim certificate and the barcode on the luggage, convert the RGB image to the grayscale image, and then dualize the grayscale image, and finally get the black and white result map, because the black and white bar reflects the light signal is different, so get different electrical signals, digitalize the electrical signal through the shaping circuit, and then get the digital character information corresponding to the bar code through the decoding interface. Extract the recognized bar code information, and add the frame head and end of the frame to the information packaging, the packaged data transmission to the STM32 microcontroller, through analysis of the obtained bar code data information to obtain the baggage is not taken by mistake, if the baggage collection vouchers and baggage verification and carry luggage audit is inconsistent, then give an alert, effectively prevent the phenomenon of luggage being mistakenly taken. The robot has many advantages, such as saving manpower, low contact rate and reducing contact with people.","PeriodicalId":412698,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Application of barcode recognition technology in baggage verification at airports\",\"authors\":\"Xue Zhao, Yingrui Hu\",\"doi\":\"10.1109/AIID51893.2021.9456592\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Barcodes were first proposed by N.T. Woodland in 1949. In recent years, with the popularization of computer applications, bar codes have been widely used. For example, in the airport baggage check-in process, bar codes are used to mark luggage. In this paper, the airport baggage monitoring robot based on bar code recognition is studied and proposed. The overall concept of building the robot is to use the OpenMV camera to obtain the RGB image of the baggage claim certificate and the barcode on the luggage, convert the RGB image to the grayscale image, and then dualize the grayscale image, and finally get the black and white result map, because the black and white bar reflects the light signal is different, so get different electrical signals, digitalize the electrical signal through the shaping circuit, and then get the digital character information corresponding to the bar code through the decoding interface. Extract the recognized bar code information, and add the frame head and end of the frame to the information packaging, the packaged data transmission to the STM32 microcontroller, through analysis of the obtained bar code data information to obtain the baggage is not taken by mistake, if the baggage collection vouchers and baggage verification and carry luggage audit is inconsistent, then give an alert, effectively prevent the phenomenon of luggage being mistakenly taken. The robot has many advantages, such as saving manpower, low contact rate and reducing contact with people.\",\"PeriodicalId\":412698,\"journal\":{\"name\":\"2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AIID51893.2021.9456592\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIID51893.2021.9456592","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of barcode recognition technology in baggage verification at airports
Barcodes were first proposed by N.T. Woodland in 1949. In recent years, with the popularization of computer applications, bar codes have been widely used. For example, in the airport baggage check-in process, bar codes are used to mark luggage. In this paper, the airport baggage monitoring robot based on bar code recognition is studied and proposed. The overall concept of building the robot is to use the OpenMV camera to obtain the RGB image of the baggage claim certificate and the barcode on the luggage, convert the RGB image to the grayscale image, and then dualize the grayscale image, and finally get the black and white result map, because the black and white bar reflects the light signal is different, so get different electrical signals, digitalize the electrical signal through the shaping circuit, and then get the digital character information corresponding to the bar code through the decoding interface. Extract the recognized bar code information, and add the frame head and end of the frame to the information packaging, the packaged data transmission to the STM32 microcontroller, through analysis of the obtained bar code data information to obtain the baggage is not taken by mistake, if the baggage collection vouchers and baggage verification and carry luggage audit is inconsistent, then give an alert, effectively prevent the phenomenon of luggage being mistakenly taken. The robot has many advantages, such as saving manpower, low contact rate and reducing contact with people.