Automated detection of smuggled high-risk security threats using Deep Learning

no code implementations • 9 Sep 2016 • Nicolas Jaccard, Thomas W. Rogers, Edward J. Morton, Lewis D. Griffin

In this contribution, we demonstrate for the first time the use of Convolutional Neural Networks (CNNs), a type of Deep Learning, to automate the detection of SMTs in fullsize X-ray images of cargo containers.

Vocal Bursts Intensity Prediction

Automated X-ray Image Analysis for Cargo Security: Critical Review and Future Promise

no code implementations • 2 Aug 2016 • Thomas W. Rogers, Nicolas Jaccard, Edward J. Morton, Lewis D. Griffin

We review the relatively immature field of automated image analysis for X-ray cargo imagery.

Image Manipulation

Detection of concealed cars in complex cargo X-ray imagery using Deep Learning

no code implementations • 26 Jun 2016 • Nicolas Jaccard, Thomas W. Rogers, Edward J. Morton, Lewis D. Griffin

In this contribution, we describe a method for the detection of cars in X-ray cargo images based on trained-from-scratch Convolutional Neural Networks.

Image Classification object-detection +1