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US Patent 11790575 Object detection training based on artificially generated images

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Contents

Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11790575
Patent Inventor Names
Ian Cinnamon
Simanta Gautam
Bruno Brasil Ferrari Faviero
Date of Patent
October 17, 2023
Patent Application Number
17812830
Date Filed
July 15, 2022
Patent Citations
‌
US Patent 8494210 User interface for use in security screening providing image enhancement capabilities and apparatus for implementing same
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US Patent 8633823 Systems and methods for automated, rapid detection of high-atomic-number materials
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US Patent 9042511 Methods and systems for the rapid detection of concealed objects
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US Patent 9170212 Method and system for performing inspection of a liquid product at a security checkpoint
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US Patent 9042661 Object classification using two-dimensional projection
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US Patent 9240046 Method and system to assist 2D-3D image registration
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US Patent 7277577 Method and system for detecting threat objects using computed tomography images
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US Patent 8014493 Method and devices for assessing the threat status of an article at a security check point
Patent Primary Examiner
‌
Ruiping Li
CPC Code
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G06T 15/503
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G06T 11/00
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G06T 9/002
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G06T 7/12
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G06T 11/003
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G06T 2211/00
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G06T 17/30
Patent abstract

Technology disclosed herein may involve a computing system that (i) based on an image of a target object of a given class of object and at least one GAN configured to generate artificial images of the given class of object, generates an artificial image of the target object that is substantially similar to real-world images of objects of the given class of objects captured by real-world scanning devices, (ii) based on an image of a receptacle, selects an insertion location within the receptacle in the image of the receptacle to insert the artificial image of the target object, (iii) generates a combined image of the receptacle and the target object, wherein generating the combined image comprises inserting the artificial image of the target object into the image of the receptacle at the insertion location, and (iv) trains one or more object detection algorithms with the combined image of the receptacle and the target object.

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