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An implementation of automatic container number recognition system

机译:集装箱自动识别系统的实现

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This paper presents a design and implementation of automatic container number recognition (ACNR) system for an oversea logistic purpose. Usually in import/export industry in Thailand, the container number which is used for logistic management and also customs duties is manually inspected and recorded by human at each gate of port. However, the manual operation by human causes of error and slow speed of operation from bottle neck, especially customs clearance verification process which customs officers and terminal operators must deal with containers individually as they enter and leave terminals via a gate. By these reasons, an automatic system is required. The cameras capture containers and by using image processing and optical characteristic recognition (OCR) techniques, a container number will be achieved and then customs clearance verification can be automatically checked via database system including other logistic management. The proposed ACNR system can reduce the bottle neck issue, enhance time utilization, accuracy rate, and data management efficiency. From an experiment, total samples of 218 containers are tested, the proposed system can give an accuracy rate of 95.41% with time utilization < 10 seconds per/container.
机译:本文提出了一种用于海外物流目的的自动集装箱号码识别(ACNR)系统的设计和实现。通常在泰国的进出口行业中,人工检查和记录用于港口管理的集装箱号,并在每个港口的闸口处进行人工记录。但是,由于人为原因造成的人工操作错误和瓶颈操作速度缓慢,特别是通关验证过程,海关官员和码头操作人员在通过闸门进出码头时必须分别处理集装箱。由于这些原因,需要一个自动系统。摄像机捕获集装箱,并通过使用图像处理和光学特征识别(OCR)技术获得集装箱编号,然后可以通过包括其他物流管理在内的数据库系统自动检查通关验证。提出的ACNR系统可以减少瓶颈问题,提高时间利用率,准确率和数据管理效率。从一个实验中,测试了218个容器的全部样本,该系统的准确率达到95.41%,每个容器的时间利用率<10秒。

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