Aon Re Inc.

United States of America

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G06N 3/08 - Learning methods 10
G06N 20/20 - Ensemble learning 9
G06T 7/00 - Image analysis 9
G06Q 40/00 - FinanceInsuranceTax strategiesProcessing of corporate or income taxes 7
G06K 9/62 - Methods or arrangements for recognition using electronic means 6
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Found results for  patents

1.

PLATFORM, SYSTEMS, AND METHODS FOR IDENTIFYING CHARACTERISTICS AND CONDITIONS OF PROPERTY FEATURES THROUGH IMAGERY ANALYSIS

      
Application Number 18941152
Status Pending
Filing Date 2024-11-08
First Publication Date 2025-02-27
Owner Aon Re, Inc. (USA)
Inventor Okazaki, Takeshi

Abstract

In an illustrative embodiment, methods and systems for automatically categorizing a condition of a property characteristic may include obtaining aerial imagery of a geographic region including the property, identifying features of the aerial imagery corresponding to the property characteristic, analyzing the features to determine a property characteristic classification, and analyzing a region of the aerial imagery including the property characteristic to determine a condition classification.

IPC Classes  ?

  • G06N 3/08 - Learning methods
  • G06F 18/241 - Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
  • G06N 20/20 - Ensemble learning
  • G06T 7/00 - Image analysis
  • G06V 10/46 - Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]Salient regional features
  • G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
  • G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
  • G06V 20/10 - Terrestrial scenes
  • G06V 20/13 - Satellite images

2.

Platform, systems, and methods for identifying characteristics and conditions of property features through imagery analysis

      
Application Number 18540335
Grant Number 12205031
Status In Force
Filing Date 2023-12-14
First Publication Date 2024-10-17
Grant Date 2025-01-21
Owner Aon Re, Inc. (USA)
Inventor Okazaki, Takeshi

Abstract

In an illustrative embodiment, methods and systems for automatically categorizing a condition of a property characteristic may include obtaining aerial imagery of a geographic region including the property, identifying features of the aerial imagery corresponding to the property characteristic, analyzing the features to determine a property characteristic classification, and analyzing a region of the aerial imagery including the property characteristic to determine a condition classification.

IPC Classes  ?

  • G06Q 40/00 - FinanceInsuranceTax strategiesProcessing of corporate or income taxes
  • G06F 18/241 - Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
  • G06N 3/08 - Learning methods
  • G06N 20/20 - Ensemble learning
  • G06T 7/00 - Image analysis
  • G06V 10/46 - Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]Salient regional features
  • G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
  • G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
  • G06V 20/10 - Terrestrial scenes
  • G06V 20/13 - Satellite images

3.

Platform, systems, and methods for identifying characteristics and conditions of property features through imagery analysis

      
Application Number 18196194
Grant Number 11853889
Status In Force
Filing Date 2023-05-11
First Publication Date 2023-09-07
Grant Date 2023-12-26
Owner AON RE, INC. (USA)
Inventor Okazaki, Takeshi

Abstract

In an illustrative embodiment, methods and systems for automatically categorizing a condition of a property characteristic may include obtaining aerial imagery of a geographic region including the property, identifying features of the aerial imagery corresponding to the property characteristic, analyzing the features to determine a property characteristic classification, and analyzing a region of the aerial imagery including the property characteristic to determine a condition classification.

IPC Classes  ?

  • G06Q 40/00 - FinanceInsuranceTax strategiesProcessing of corporate or income taxes
  • G06N 3/08 - Learning methods
  • G06N 20/20 - Ensemble learning
  • G06T 7/00 - Image analysis
  • G06F 18/241 - Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
  • G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
  • G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
  • G06V 20/10 - Terrestrial scenes
  • G06V 10/46 - Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]Salient regional features
  • G06V 20/13 - Satellite images

4.

Platform, systems, and methods for identifying characteristics and conditions of property features through imagery analysis

      
Application Number 17989991
Grant Number 11687768
Status In Force
Filing Date 2022-11-18
First Publication Date 2023-03-16
Grant Date 2023-06-27
Owner AON RE, INC. (USA)
Inventor Okazaki, Takeshi

Abstract

In an illustrative embodiment, methods and systems for automatically assessing damage vulnerability of a property include accessing digital images of a property parcel having a first structure thereon, classifying features visible in the images, including at least one feature of the first structure and at least one feature present in a neighborhood of the property parcel, to determine at least one of characteristic of each feature, determining a spatial relationship between a first structure and each manmade and/or natural feature represented by the classified features, and applying a property loss risk profile, based at least in part on the determined characteristics and the determined spatial relationships, to calculate a risk estimate for the first structure under at least one risk scenario.

IPC Classes  ?

  • G06Q 40/00 - FinanceInsuranceTax strategiesProcessing of corporate or income taxes
  • G06F 18/241 - Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
  • G06N 20/20 - Ensemble learning
  • G06T 7/00 - Image analysis
  • G06N 3/08 - Learning methods
  • G06V 10/46 - Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]Salient regional features
  • G06V 20/13 - Satellite images

5.

Platform, systems, and methods for identifying characteristics and conditions of property features through imagery analysis

      
Application Number 17825531
Grant Number 11551040
Status In Force
Filing Date 2022-05-26
First Publication Date 2022-09-08
Grant Date 2023-01-10
Owner AON RE, INC. (USA)
Inventor Okazaki, Takeshi

Abstract

In an illustrative embodiment, methods and systems for automatically categorizing a condition of a property characteristic may include obtaining aerial imagery of a geographic region including the property, identifying features of the aerial imagery corresponding to the property characteristic, analyzing the features to determine a property characteristic classification, and analyzing a region of the aerial imagery including the property characteristic to determine a condition classification.

IPC Classes  ?

  • G06Q 20/00 - Payment architectures, schemes or protocols
  • G06K 9/62 - Methods or arrangements for recognition using electronic means
  • G06N 3/08 - Learning methods
  • G06N 20/20 - Ensemble learning
  • G06T 7/00 - Image analysis
  • G06V 10/46 - Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]Salient regional features
  • G06V 20/13 - Satellite images

6.

Platform, systems, and methods for identifying characteristics and conditions of property features through imagery analysis

      
Application Number 17518304
Grant Number 11347976
Status In Force
Filing Date 2021-11-03
First Publication Date 2022-02-24
Grant Date 2022-05-31
Owner AON RE, INC. (USA)
Inventor Okazaki, Takeshi

Abstract

In one aspect, classifying features and feature conditions of a property represented in digital imagery includes training a characteristic classifier for applying multilayer artificial perception to classifying features represented in a property image into feature classifications, training a condition classifier for applying multilayer artificial perception to classifying a condition of each feature into one of a set of condition qualifiers, accessing digital image(s) of a property, and applying a machine learning analysis model including the characteristic classifier and the condition classifier to the digital image(s) to identify, for each feature represented in the image(s), a feature classification and a condition qualifier.

IPC Classes  ?

  • G06Q 40/00 - FinanceInsuranceTax strategiesProcessing of corporate or income taxes
  • G06K 9/62 - Methods or arrangements for recognition using electronic means
  • G06N 20/20 - Ensemble learning
  • G06T 7/00 - Image analysis
  • G06N 3/08 - Learning methods
  • G06V 10/46 - Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]Salient regional features
  • G06V 20/13 - Satellite images

7.

Platform, systems, and methods for identifying property characteristics and property feature conditions through imagery analysis

      
Application Number 17155633
Grant Number 11030491
Status In Force
Filing Date 2021-01-22
First Publication Date 2021-05-13
Grant Date 2021-06-08
Owner AON RE, INC. (USA)
Inventor Okazaki, Takeshi

Abstract

In an illustrative embodiment, methods and systems for automatically assessing features of a property location may include applying first machine learning analysis to at least one image to determine a set of characteristics of the property features, and applying second machine learning analysis to the at least one image to classify a condition of each property feature.

IPC Classes  ?

  • G06K 9/62 - Methods or arrangements for recognition using electronic means
  • G06T 7/00 - Image analysis
  • G06N 20/20 - Ensemble learning
  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • G06K 9/46 - Extraction of features or characteristics of the image
  • G06N 3/08 - Learning methods

8.

Platform, systems, and methods for identifying property characteristics and property feature conditions through aerial imagery analysis

      
Application Number 16868113
Grant Number 11195058
Status In Force
Filing Date 2020-05-06
First Publication Date 2021-03-25
Grant Date 2021-12-07
Owner AON RE, INC. (USA)
Inventor Okazaki, Takeshi

Abstract

In an illustrative embodiment, methods and systems for automatically categorizing a condition of a property characteristic may include obtaining aerial imagery of a geographic region including the property, identifying features of the aerial imagery corresponding to the property characteristic, analyzing the features to determine a property characteristic classification, and analyzing a region of the aerial imagery including the property characteristic to determine a condition classification.

IPC Classes  ?

  • G06Q 40/00 - FinanceInsuranceTax strategiesProcessing of corporate or income taxes
  • G06K 9/62 - Methods or arrangements for recognition using electronic means
  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • G06N 20/20 - Ensemble learning
  • G06T 7/00 - Image analysis
  • G06N 3/08 - Learning methods
  • G06K 9/46 - Extraction of features or characteristics of the image

9.

Platform, systems, and methods for identifying property characteristics and property feature conditions through aerial imagery analysis

      
Application Number 16733888
Grant Number 10650285
Status In Force
Filing Date 2020-01-03
First Publication Date 2020-05-07
Grant Date 2020-05-12
Owner AON RE, INC. (USA)
Inventor Okazaki, Takeshi

Abstract

In an illustrative embodiment, methods and systems for automatically categorizing a condition of a property characteristic may include obtaining aerial imagery of a geographic region including the property, identifying features of the aerial imagery corresponding to the property characteristic, analyzing the features to determine a property characteristic classification, and analyzing a region of the aerial imagery including the property characteristic to determine a condition classification.

IPC Classes  ?

  • G06Q 40/00 - FinanceInsuranceTax strategiesProcessing of corporate or income taxes
  • G06K 9/62 - Methods or arrangements for recognition using electronic means
  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • G06N 20/20 - Ensemble learning
  • G06T 7/00 - Image analysis
  • G06N 3/08 - Learning methods
  • G06K 9/46 - Extraction of features or characteristics of the image

10.

Platform, systems, and methods for identifying property characteristics and property feature maintenance through aerial imagery analysis

      
Application Number 15714376
Grant Number 10529029
Status In Force
Filing Date 2017-09-25
First Publication Date 2018-03-29
Grant Date 2020-01-07
Owner AON RE, INC. (USA)
Inventor Okazaki, Takeshi

Abstract

In an illustrative embodiment, methods and systems for automatically categorizing a repair condition of a property characteristic may include obtaining aerial imagery of a geographic region including the property, identifying features of the aerial imagery corresponding to the property characteristic, analyzing the features to determine a property characteristic classification, and analyzing a region of the aerial imagery including the property characteristic to determine a condition classification. The methods and systems may further include determining, using the property characteristic classification and the condition classification, a risk estimate of damage to the property due to one or more disasters and/or a cost estimate of repair or replacement of the property characteristic.

IPC Classes  ?

  • G06Q 40/00 - FinanceInsuranceTax strategiesProcessing of corporate or income taxes
  • G06Q 40/08 - Insurance
  • G06N 3/04 - Architecture, e.g. interconnection topology
  • G06N 3/08 - Learning methods
  • G06K 9/62 - Methods or arrangements for recognition using electronic means
  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • G06T 11/60 - Editing figures and textCombining figures or text
  • G06F 16/51 - IndexingData structures thereforStorage structures
  • G06K 9/46 - Extraction of features or characteristics of the image