条码识别技术在机场行李查验中的应用

Xue Zhao, Yingrui Hu
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引用次数: 1

摘要

1949年,N.T. Woodland首先提出了条形码。近年来,随着计算机应用的普及,条形码得到了广泛的应用。例如,在机场行李登记过程中,条形码用于标记行李。本文研究并提出了基于条形码识别的机场行李监控机器人。构建机器人的总体思路是利用OpenMV摄像机获取行李认领证和行李上条形码的RGB图像,将RGB图像转换为灰度图像,再对灰度图像进行二值化,最后得到黑白结果图,由于黑白条反射的光信号不同,因此得到不同的电信号,通过整形电路将电信号数字化。然后通过解码接口得到与条码相对应的数字字符信息。提取出识别出的条形码信息,并将帧头部和帧尾部的信息进行打包,将打包后的数据传输到STM32单片机中,通过对所获得的条形码数据信息进行分析,得出行李是否被误取,如果行李领取凭证与行李验证和携带行李审核不一致,则给出报警,有效防止行李被误取的现象。该机器人具有节省人力、接触率低、减少与人接触等诸多优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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