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Jaccard et al., 2016 - Google Patents

Automated detection of smuggled high-risk security threats using deep learning

Jaccard et al., 2016

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Document ID
371355279331248674
Author
Jaccard N
Rogers T
Morton E
Griffin L
Publication year
Publication venue
7th International Conference on Imaging for Crime Detection and Prevention (ICDP 2016)

External Links

Snippet

The security infrastructure is ill-equipped to detect and deter the smuggling of non-explosive devices that enable terror attacks such as those recently perpetrated in western Europe. The detection of so-called “Small Metallic Threats”(SMTs) in cargo containers currently relies on …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

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    • G06K9/68Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory
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