Automated comparison of X-ray images for cargo scanning

Wicher Visser, A. Schwaninger, D. Hardmeier, A. Flisch, M. Costin, C. Vienne, F. Sukowski, U. Hassler, I. Dorion, Abraham Marciano, G. Koomen, M. Slegt, Andrea Canonica
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引用次数: 12

Abstract

Customs administrations are responsible for the enforcement of fiscal integrity and security of movements of goods across land and sea borders. In order to verify whether the transported goods match the transport declaration, X-ray imaging of containers is used at many customs site worldwide. The main objective of the research and development project “Automated Comparison of X-ray Images for Cargo Scanning (ACXIS)”, which is funded by the European 7th Framework Program, is to improve the efficiency and effectiveness of the inspection procedures of cargo at customs using X-ray technology. The current inspection procedures are reviewed to identify risks, catalogue illegal cargo, and prioritize detection scenarios. Based on these results, we propose an integrated solution that provides automation, information exchange between customs administrations, and computer-based training modules for customs officers. Automated target recognition (ATR) functions analyze the X-ray image after a scan is made to detect certain types of goods such as cigarettes, weapons and drugs in the freight or container. Other helpful information can also be provided, such as the load homogeneity, total or partial weight, or the number of similar items. The ATR functions are provided as an option to the user. The X-ray image is transformed into a manufacturer-independent format through geometrical and spectral corrections and stored into a database along with the user feedback and other related data. This information can be exchanged with similar systems at other sites, thus facilitating information exchange between customs administrations. The database is seeded with over 30'000 examples of legitimate and illegal goods. These examples are used by the ATR functions through machine learning techniques, which are further strengthened by the information exchange. In order to improve X-ray image interpretation competency of human operators (customs officers), a computer-based training software is developed that simulates these new inspection procedures. A study is carried out to validate the effectiveness and efficiency of the computer-based training as well as the implemented procedures. Officers from the Dutch and Swiss Customs administrations partake in the study, covering both land and sea borders.
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货物扫描的x射线图像自动比较
海关管理部门负责执行财政诚信和货物跨境和海上流动的安全。为了核实运输货物是否与运输申报相符,全球许多海关都使用集装箱x射线成像技术。由欧洲第7框架计划资助的“货物扫描x射线图像自动比较”研究和发展项目的主要目的是提高海关使用x射线技术检查货物程序的效率和效果。审查现行的检查程序,以识别风险,对非法货物进行分类,并优先考虑检测方案。根据这些结果,我们提出了一个综合解决方案,提供自动化、海关管理部门之间的信息交换和海关人员的计算机培训模块。自动目标识别(ATR)功能分析扫描后的x射线图像,以检测货物或集装箱中的香烟、武器、毒品等特定类型的货物。还可以提供其他有用的信息,例如负载均匀性、总重量或部分重量或类似项目的数量。ATR功能作为选项提供给用户。通过几何和光谱校正,将x射线图像转换为与制造商无关的格式,并与用户反馈和其他相关数据一起存储到数据库中。这些资料可与其他地点的类似系统交换,从而促进海关当局之间的资料交换。该数据库包含超过3万个合法和非法商品的例子。这些例子通过机器学习技术被ATR函数使用,并通过信息交换进一步加强。为了提高人工操作员(海关人员)解读x光图像的能力,海关开发了一套模拟这些新检查程序的电脑培训软件。进行了一项研究,以验证以计算机为基础的培训的有效性和效率以及所实施的程序。来自荷兰和瑞士海关的官员参与了这项研究,涵盖了陆地和海上边界。
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