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US 2018/0121804 A1Published application
Augmented X-Ray Imaging System For Detection of Threats
OwnerFarrokh Mohamadiinventor
Life of this patent
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Abstract
A pre-trained convolutional neural network is trained to accurately identify threats in x-ray images of luggage. The x-ray images are filtered according to a threshold to separate out the outlines of dense objects prior to the analysis by the trained convolutional neural network.
Claims16
A system for identifying weapons in luggage, comprising:
- an x-ray imaging system for producing x-ray images of luggage;
- a processor configured to apply a threshold to the x-ray images to separate out outlines of dense objects that pass the threshold;
- and
- a convolutional neural network for analyzing the outlines of the dense objects to identify weapons in the x-ray images.
1 more element
A method, comprising:
- obtaining a pre-trained convolutional neural network that is pre-trained on an image database that does not include images of knives and handguns;
- training the pre-trained convolutional neural network on a database of knife and handgun images to provide a trained convolutional neural network that distinguishes between knives and handguns;
- x-raying luggage to produce x-ray images of the luggage;
- and
- identifying knives and handguns in the x-ray images using the trained convolutional neural network.
2 more elements
Dependencies are inferred from the claim text.