Improving customs’ border control by creating a reference database of cargo inspection X-ray images
نویسندگان
چکیده
منابع مشابه
Cargo Container X-ray Inspection Systems
OVERVIEW: Container inspection is categorized into three stages. In the initial stage, large-size X-ray DR (digital radiography) is used to inspect full containers sitting on their trailers. If that inspection identifies suspicious cargo, the trailer and container are relocated to a nearby inspection position for opening the container and inspecting all cargo inside. In the second stage, small-...
متن کاملTackling the X-ray cargo inspection challenge using machine learning
The current infrastructure for non-intrusive inspection of cargo containers cannot accommodate exploding commerce volumes and increasingly stringent regulations. There is a pressing need to develop methods to automate parts of the inspection workflow, enabling expert operators to focus on a manageable number of high-risk images. To tackle this challenge, we developed a modular framework for aut...
متن کاملAcxis – Automated Comparison of X-ray Images for Cargo Scanning
The ongoing FP7 project “ACXIS Automated Comparison of X-ray Images for cargo Scanning” delivers enhanced inspection procedures for customs. A manufacturer independent reference data base for X-ray images of illegal and legitimate cargo is developed. One of the X-ray image recording work flow is to use 3D-CT data of illegal cargo mockups and to artificially generate arbitrary X-ray projections....
متن کاملRidgelet Compression Method of Luggage X-ray Inspection Images
Inspecting luggage of passengers that get across the important passageway (such as airdrome, dock, depot etc.) has become broad safety precaution in the world. However, these inspected images have a large size of the datasets. In general, the useful and useless information in the luggage X-ray inspection image sequence don’t be distinguished, so much computation resource and storage space are w...
متن کاملA deep learning framework for the automated inspection of complex dual-energy x-ray cargo imagery
Previously, we investigated the use of Convolutional Neural Networks (CNNs) to detect so-called Small Metallic Threats (SMTs) hidden amongst legitimate goods inside a cargo container. We trained a CNN from scratch on data produced by a Threat Image Projection (TIP) framework that generates images with realistic variation to robustify performance. The system achieved 90% detection of containers ...
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ژورنال
عنوان ژورنال: Advances in Science, Technology and Engineering Systems Journal
سال: 2017
ISSN: 2415-6698
DOI: 10.25046/aj020309