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Application of barcode recognition technology in baggage verification at airports

机译：条形码识别技术在机场行李核查中的应用

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摘要

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.
机译：条形码首先由N.T提出。林地于1949年。近年来，随着计算机应用的推广，条形码已被广泛使用。例如，在机场行李登记过程中，条形码用于标记行李。本文研究了基于条形码识别的机场行李监控机器人，并提出。构建机器人的整体概念是使用OpenMV摄像机获取行李索赔证书的RGB图像和行李上的条形码，将RGB图像转换为灰度图像，然后致电灰度图像，最后得到了黑白结果图，因为黑白条反射光信号是不同的，所以得到不同的电信号，通过整形电路数字化电信号，然后通过解码接口获取与条形码对应的数字字符信息。提取识别的条形码信息，并将帧的帧头和结尾添加到信息封装，通过分析所获得的条形码数据信息来获取行李的封装数据传输，如果行李收集凭证和行李核查和行李审计是不一致的，那么警惕，有效地防止行李的现象被错误地拍摄。机器人具有许多优点，如节省人力，低接触率和与人的接触。

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