Mitchell International, Inc.

États‑Unis d’Amérique

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Date
Nouveautés (dernières 4 semaines) 2
2022 janvier (MACJ) 1
2021 décembre 1
2021 novembre 1
2021 septembre 1
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Classe IPC
G06Q 40/08 - Assurance, p.ex. analyse des risques ou pensions 11
G06Q 50/30 - Transport; Communications 8
B60S 5/00 - Maintenance, entretien, réparation ou révision des véhicules 6
G06N 20/00 - Apprentissage automatique 6
G06Q 30/02 - Marketing, p.ex. études et analyse de marchés, prospection, promotions, publicité, établissement du profil des acheteurs, gestion ou fidélisation de clientèle; Estimation ou détermination des prix 5
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Statut
En Instance 18
Enregistré / En vigueur 2
Résultats pour  brevets

1.

MANAGING PREDICTIONS FOR VEHICLE REPAIR ESTIMATES

      
Numéro de document 03124237
Statut En instance
Date de dépôt 2021-07-12
Date de disponibilité au public 2022-01-15
Propriétaire MITCHELL INTERNATIONAL, INC. (USA)
Inventeur(s)
  • Hyland, Joseph
  • Gulati, Abhijeet
  • Soloviev, Dmitri
  • Zhang, Chenlei
  • Lamba, Prarit

Abrégé

Systems and methods for managing predictions for vehicle repair estimates are provided. A method includes providing one or more images of a damaged vehicle as input to a machine learning model, wherein the machine learning model has been trained with images of other damaged vehicles and corresponding vehicle operations, wherein each of the vehicle operations represents the repair or replacement of a vehicle component; receiving output of the machine learning model responsive to the input, wherein the output comprises a plurality of values each corresponding to one of a plurality of the vehicle operations; determining a confidence metric based on the values; making a comparison between the confidence metric and a confidence threshold value; and selecting the one of the plurality of the vehicle operations corresponding to the highest value as a predicted operation based on the comparison.

Classes IPC  ?

  • G06N 20/00 - Apprentissage automatique
  • G16Z 99/00 - Matière non prévue dans les autres groupes principaux de la présente sous-classe
  • G06Q 40/08 - Assurance, p.ex. analyse des risques ou pensions

2.

VEHICLE REPAIR ESTIMATING TOOL WITH NEAR-REAL-TIME COMPLIANCE

      
Numéro de document 03122871
Statut En instance
Date de dépôt 2021-06-22
Date de disponibilité au public 2021-12-24
Propriétaire MITCHELL INTERNATIONAL, INC. (USA)
Inventeur(s)
  • Genchel, Niv
  • Nemani, Ravi Kiran

Abrégé

A vehicle repair estimating tool with near-real-time compliance is provided, In general, one aspect disclosed features a method comprising: providing a near- real-time view of a repair estimate record to a client device, the repair estimate record having one or more fields, receiving, from the client device, a data entry input to be applied to one of the fields of the repair estimate record, selecting, in near real time, one or more compliance rules related to the one of the fields responsive to receiving the data entry input, determining, in near real time, whether the data entry input is valid based on the selected one or more compliance rules, and when the data entry input is determined not to be valid, notifying the client device, in near real time, that the data entry input is not valid for the one of the fields.

Classes IPC  ?

  • G06Q 10/00 - Administration; Gestion
  • G06Q 30/02 - Marketing, p.ex. études et analyse de marchés, prospection, promotions, publicité, établissement du profil des acheteurs, gestion ou fidélisation de clientèle; Estimation ou détermination des prix
  • G06Q 30/06 - Transactions d'achat, de vente ou de crédit-bail
  • G06N 20/00 - Apprentissage automatique

3.

NEAR-REAL-TIME COLLABORATIVE VEHICLE REPAIR ESTIMATING TOOL

      
Numéro de document 03119130
Statut En instance
Date de dépôt 2021-05-19
Date de disponibilité au public 2021-11-22
Propriétaire MITCHELL INTERNATIONAL, INC. (USA)
Inventeur(s)
  • Genchel, Niv
  • Nemani, Ravi Kiran

Abrégé

A near-real-time collaborative vehicle repair estimating tool is provided. In general, one aspect disclosed features a system, comprising: a hardware processor; and a non- transitory machine-readable storage medium encoded with instructions executable by the hardware processor to perform a method comprising: providing at least one view of a repair estimate record to a plurality of client devices; receiving a revision of the repair estimate record from one of the client devices; generating a revised repair estimate record by revising the repair estimate record according to the received revision responsive to receiving the revision of the repair estimate record; and providing at least one view of the revised repair estimate record to the plurality of client devices in near real time with receiving the revision of the repair estimate record.

Classes IPC  ?

  • G06Q 30/02 - Marketing, p.ex. études et analyse de marchés, prospection, promotions, publicité, établissement du profil des acheteurs, gestion ou fidélisation de clientèle; Estimation ou détermination des prix
  • G06Q 50/30 - Transport; Communications

4.

METHODS FOR AUTOMATING CUSTOMER AND VEHICLE DATA INTAKE USING WEARABLE COMPUTING DEVICES

      
Numéro de document 03112750
Statut En instance
Date de dépôt 2021-03-22
Date de disponibilité au public 2021-09-23
Propriétaire MITCHELL INTERNATIONAL, INC. (USA)
Inventeur(s) Cannarsa, Umberto Laurent

Abrégé

Systems and methods are provided for automating information intake process by generating intake instructions for display on a client computing device. A user may be directed to capture data that includes vehicle and owner information using a wearable computing device. Insurance claim information, including damage information, may be obtained based on the captured vehicle information. The damage information may be used to determine intake instructions for capturing the images or videos of the damage. The user may use the system in a handsfree manner by viewing intake instructions via a display of the wearable computing device which allows the user to view the intake instructions while capturing the intake information. Additionally, the user may use voice commands or gestures to control the display of intake instructions.

Classes IPC  ?

  • G06Q 40/08 - Assurance, p.ex. analyse des risques ou pensions
  • G06Q 50/30 - Transport; Communications
  • G06F 3/16 - Entrée acoustique; Sortie acoustique

5.

AUTOMATED VEHICLE REPAIR ESTIMATION BY PREFERENTIAL ENSEMBLING OF MULTIPLE ARTIFICIAL INTELLIGENCE FUNCTIONS

      
Numéro de document 03094782
Statut En instance
Date de dépôt 2020-09-30
Date de disponibilité au public 2021-03-30
Propriétaire MITCHELL INTERNATIONAL, INC. (USA)
Inventeur(s) Gulati, Abhijeet

Abrégé

Automated vehicle repair estimation by preferential ensembling of multiple artificial intelligence functions is provided. A method comprises receiving, from each source of a plurality of the sources, a respective vehicle repair recommendation set for a damaged vehicle, wherein each vehicle repair recommendation set identifies a recommended vehicle repair operation of a plurality of the vehicle repair operations for the damaged vehicle; determining a respective source rank of each source from a plurality of the source ranks; generating a composite vehicle repair recommendation set that identifies the recommended vehicle repair operations in an order determined according to the source ranks of the respective sources; and providing the composite vehicle repair recommendation set to one or more vehicle repair insurance claims management systems.

Classes IPC  ?

  • G06Q 50/30 - Transport; Communications
  • G06Q 40/08 - Assurance, p.ex. analyse des risques ou pensions
  • G06N 20/00 - Apprentissage automatique
  • B60S 5/00 - Maintenance, entretien, réparation ou révision des véhicules

6.

VEHICLE REPAIR WORKFLOW AUTOMATION WITH OEM REPAIR PROCEDURE VERIFICATION

      
Numéro de document 03093748
Statut En instance
Date de dépôt 2020-09-21
Date de disponibilité au public 2021-03-30
Propriétaire MITCHELL INTERNATIONAL, INC. (USA)
Inventeur(s)
  • Rozint, John Joseph
  • Nguyen, Kien
  • Butch, Thomas

Abrégé

A computer-implemented method comprising: obtaining repair estimate data that describes a repair estimate for a damaged vehicle; extracting, from an oem repair procedure database according to the received repair estimate data, repair procedure data that describes repair procedures for the damaged vehicle; transmitting the extracted repair procedure data to at least one technician computing device; obtaining repair log data generated by the at least one technician computing device, wherein the repair log data describes one or more repairs performed upon the damaged vehicle; determining whether the repair procedures for the damaged vehicle have been satisfactorily performed based on the received repair log data and the extracted repair procedure data; sending an electronic approval message responsive to determining the repair procedures for the damaged vehicle have been satisfactorily performed; and sending an electronic disapproval message responsive to determining the repair procedures for the damaged vehicle have not been satisfactorily performed.

Classes IPC  ?

  • G06Q 10/06 - Ressources, gestion de tâches, gestion d'hommes ou de projets, p.ex. organisation, planification, ordonnancement ou affectation de ressources en temps, hommes ou machines; Planification dans l'entreprise; Modèles organisationnels
  • B60S 5/00 - Maintenance, entretien, réparation ou révision des véhicules

7.

AUTOMATED VEHICLE REPAIR ESTIMATION BY ADAPTIVE ENSEMBLING OF MULTIPLE ARTIFICIAL INTELLIGENCE FUNCTIONS

      
Numéro de document 03094778
Statut En instance
Date de dépôt 2020-09-30
Date de disponibilité au public 2021-03-30
Propriétaire MITCHELL INTERNATIONAL, INC. (USA)
Inventeur(s)
  • Gulati, Abhijeet
  • Hyland, Joseph

Abrégé

Automated vehicle repair estimation by adaptive ensembling of multiple artificial intelligence functions is provided. A method comprises receiving, from a plurality of sources, vehicle repair recommendation sets identifying recommended vehicle repair operations for damaged vehicle components; selecting, by a trained artificial intelligence function, one of the operations for each component based on a plurality of learned states; generating a composite vehicle repair recommendation set identifying the selected operation; providing the composite vehicle repair recommendation set to one or more claims management systems; and repeatedly retraining the trained artificial intelligence function by adjusting the learned states according to the vehicle damage objects received, and the corresponding composite vehicle repair recommendation generated, since the last retraining of the trained artificial intelligence function.

Classes IPC  ?

  • G06Q 50/30 - Transport; Communications
  • G06Q 40/08 - Assurance, p.ex. analyse des risques ou pensions
  • G06N 20/00 - Apprentissage automatique
  • B60S 5/00 - Maintenance, entretien, réparation ou révision des véhicules

8.

AUTOMATED VEHICLE REPAIR ESTIMATION BY VOTING ENSEMBLING OF MULTIPLE ARTIFICIAL INTELLIGENCE FUNCTIONS

      
Numéro de document 03094783
Statut En instance
Date de dépôt 2020-09-30
Date de disponibilité au public 2021-03-30
Propriétaire MITCHELL INTERNATIONAL, INC. (USA)
Inventeur(s) Gulati, Abhijeet

Abrégé

Automated vehicle repair estimation by voting ensembling of multiple artificial intelligence functions is provided. A method comprises receiving a plurality of vehicle repair recommendation sets, each identifying (i) at least one component of a damaged vehicle, (ii) a recommended vehicle repair operation for each identified component, and (iii) a score and/or confidence percentage for each operation; when a plurality of the sets identify recommended operations for one of the components, selecting the operation having the highest score, and unselecting the other operations for the component; generating a composite vehicle repair recommendation set, wherein the composite vehicle repair recommendation set identifies the selected recommended vehicle repair operation, and wherein the composite vehicle repair recommendation set does not identify the unselected recommended vehicle repair operation; and providing the composite vehicle repair recommendation set to one or more claims management systems.

Classes IPC  ?

  • G06Q 50/30 - Transport; Communications
  • G06Q 40/08 - Assurance, p.ex. analyse des risques ou pensions
  • G06N 20/00 - Apprentissage automatique
  • B60S 5/00 - Maintenance, entretien, réparation ou révision des véhicules

9.

METHODS FOR MANAGING REPAIR OF VEHICLE DAMAGE WITH HEAD MOUNTED DISPLAY DEVICE AND DEVICES THEREOF

      
Numéro de document 03076772
Statut En instance
Date de dépôt 2020-03-25
Date de disponibilité au public 2021-03-23
Propriétaire MITCHELL INTERNATIONAL, INC. (USA)
Inventeur(s)
  • Cannarsa, Umberto Laurent
  • Bachman, John Anthony
  • Kovar, Daniel Jake

Abrégé

Systems and methods are provided for generating repair procedures, which are displayed on a client computing device as a series of repair steps based on a determined order. A user may be directed to capture an image that includes vehicle identifying information or license plate number using a computer wearable device. The damage information, repair estimate information, and repair procedure information may be obtained based on the damaged vehicle information. Individual repair procedures and their order are determined by analyzing the damage information, repair estimate information, repair procedure information, diagnostic codes, and historical repair data. The user may use the system in a handsfree manner by viewing the repair procedures in a display of a computer wearable device which allows the user to view the repair information while performing the repairs. Additionally, the user may use voice commands or gesture to control the display of particular repair procedures.

Classes IPC  ?

  • B60S 5/00 - Maintenance, entretien, réparation ou révision des véhicules
  • G06Q 50/30 - Transport; Communications
  • G06N 20/00 - Apprentissage automatique

10.

METHODS FOR AUTOMATICALLY PROCESSING VEHICLE COLLISION DAMAGE ESTIMATION AND REPAIR WITH WEARABLE COMPUTING DEVICES

      
Numéro de document 03077986
Statut En instance
Date de dépôt 2020-04-15
Date de disponibilité au public 2020-10-15
Propriétaire MITCHELL INTERNATIONAL, INC. (USA)
Inventeur(s) Cannarsa, Umberto Laurent

Abrégé

Systems and methods are provided for automatically generating a repair estimate report for repairing a damaged vehicle. A user may be directed to capture data that includes vehicle information (e.g., VIN) and damage information (e.g., images of damaged panels and parts) using a computer wearable device based on intake instructions generated by the system. The damage information may be analyzed to obtain repair information. The repair estimate may be submitted to an insurance carrier and a notification specifying an approval or rejection may be generated. The user may use the system in a handsfree manner by viewing and/or listening to intake instructions, vehicle information, and the status of the repair estimate approval in a display and/or through speakers, respectively, of a computer wearable device.

Classes IPC  ?

  • G06Q 30/02 - Marketing, p.ex. études et analyse de marchés, prospection, promotions, publicité, établissement du profil des acheteurs, gestion ou fidélisation de clientèle; Estimation ou détermination des prix
  • G06Q 40/08 - Assurance, p.ex. analyse des risques ou pensions
  • G06Q 50/30 - Transport; Communications
  • G06T 7/00 - Analyse d'image

11.

METHODS FOR ESTIMATING REPAIR DATA UTILIZING ARTIFICIAL INTELLIGENCE AND DEVICES THEREOF

      
Numéro de document 03056989
Statut En instance
Date de dépôt 2019-09-27
Date de disponibilité au public 2020-03-28
Propriétaire MITCHELL INTERNATIONAL, INC. (Canada)
Inventeur(s)
  • Gulati, Abhijeet
  • Nemani, Ravi
  • Hyland, Joseph
  • Lamba, Prarit

Abrégé

A method, non-transitory computer readable medium, and an apparatus for automated estimation of repair data includes applying a first generated artificial intelligence model on a received vehicle damage image associated with an electronic claim to identify damaged component(s) on a vehicle without using any metadata. A heat map analysis is performed on the received actual vehicle damage image to identify a damage severity value associated with at least one of the identified damaged component(s). A second generated artificial intelligence model is applied on the received actual vehicle damage image and the damage severity value associated with the identified damaged component(s) to determine repair data and a repair-or-replace designation. The determined repair data and the determined repair-or-replace designation for at least one of the identified one or more damaged components is provided in response to the received actual vehicle damage image associated with the electronic claim.

Classes IPC  ?

  • G06Q 10/00 - Administration; Gestion
  • G06Q 30/02 - Marketing, p.ex. études et analyse de marchés, prospection, promotions, publicité, établissement du profil des acheteurs, gestion ou fidélisation de clientèle; Estimation ou détermination des prix
  • G06Q 40/08 - Assurance, p.ex. analyse des risques ou pensions
  • G06N 3/02 - Systèmes de calculateurs basés sur des modèles biologiques utilisant des modèles de réseaux neuronaux
  • G06N 3/08 - Méthodes d'apprentissage
  • G06T 7/00 - Analyse d'image

12.

METHODS FOR ASSESSING CONDITIONING OF A TOTAL LOSS VEHICLE AND DEVICES THEREOF

      
Numéro de document 03050400
Statut En instance
Date de dépôt 2019-07-23
Date de disponibilité au public 2020-01-24
Propriétaire MITCHELL INTERNATIONAL, INC. (Canada)
Inventeur(s)
  • Kroell, Philip
  • Riedesel, Joseph

Abrégé

A method, non-transitory computer readable medium, and apparatus that automated assessment of conditioning includes automatically analyzing one or more electronic images of a total loss property based on one or more prior condition assessments and condition guidelines rating data associated with the total loss property. A prior property conditioning of the total loss property is determined based on the analysis of the one or more obtained images. The determined prior property conditioning of the total loss property is provided.

Classes IPC  ?

13.

METHODS FOR PREDICTIVE ESTIMATION OF REPAIR LINES BASED ON HISTORICAL DATA AND DEVICES THEREOF

      
Numéro de document 03021029
Statut En instance
Date de dépôt 2018-10-16
Date de disponibilité au public 2019-04-16
Propriétaire MITCHELL INTERNATIONAL, INC. (USA)
Inventeur(s)
  • Gulati, Abhijeet
  • Nemani, Ravi
  • Genchel, Niv
  • Samel, Palak
  • Carron, Don
  • Farnsworth, Jason
  • Bhuwal, Rahul
  • Allan, Christophe
  • Crumpler, Kenny

Abrégé

A method, non-transitory computer readable medium and apparatus for providing predictive estimates of repair lines includes receives vehicle damage data including a plurality of images, videos, and vehicle diagnostic data. One or more damages are identified based on the received vehicle damage data. One or more repair parts data and labor data are determined for the identified one or more damages based on historical repair parts data and historical labor data. The determined one or more repair parts data and the labor data is provided via a graphical user interface.

Classes IPC  ?

14.

METHODS FOR ANALYZING INSURANCE DATA AND DEVICES THEREOF

      
Numéro de document 03021019
Statut En instance
Date de dépôt 2018-10-16
Date de disponibilité au public 2019-04-16
Propriétaire MITCHELL INTERNATIONAL, INC. (USA)
Inventeur(s)
  • Gulati, Abhijeet
  • Nemani, Ravi
  • Valenzuela, Eric
  • Kozak, Scott

Abrégé

Methods, non-transitory computer readable media, and computing apparatus that assist with analyzing data includes obtaining vehicle data from one of the plurality of data sources in a plurality of formats. The obtained vehicle data is aggregated based on one or more geographic locations obtained from one of the plurality of sources. A sampling threshold size is determined for sampling the aggregated vehicle data based on one or more threshold rules. One or more machine learning algorithms are applied to the aggregated vehicle data to generate sampling data when the aggregated vehicle data is greater than the determined sampling threshold size. The generated sampling data is represented in a graphical representation format via a graphical user interface.

Classes IPC  ?

  • G06Q 40/08 - Assurance, p.ex. analyse des risques ou pensions

15.

METHODS FOR VEHICLE VALUATION ULILIZING AUTOMATED INTEGRATION OF BUILD SHEET DATA AND DEVICES THEREOF

      
Numéro de document 02976770
Statut En instance
Date de dépôt 2017-08-18
Date de disponibilité au public 2018-02-18
Propriétaire MITCHELL INTERNATIONAL, INC. (USA)
Inventeur(s)
  • Kroell, Phil
  • Milliken, Michael
  • Reidesel, Joe

Abrégé

A method, non-transitory computer readable medium and apparatus for vehicle valuation includes integrating with an insurance claim application executed by an agent device in response to a received electronic request for a claim for a vehicle. Automated valuation of the claim vehicle in the insurance claim application executed by an agent computing device is managed. Corresponding build sheet data from a build sheet data server device for the comparable vehicles and the claim vehicle based on a corresponding vehicle identifier for each is obtained. A comparable base value of each of the comparable vehicles to the claim vehicle is adjusted based on differences between the obtained build sheet data for each. A claim base value for the claim vehicle is determined based on the adjusted comparable base values for each of the identified comparable vehicles. The determined claim base value is set in the insurance claim application executed by the agent device.

Classes IPC  ?

  • G06Q 40/08 - Assurance, p.ex. analyse des risques ou pensions

16.

SYSTEMS AND METHODS FOR USE OF DIAGNOSTIC SCAN TOOL IN AUTOMOTIVE COLLISION REPAIR

      
Numéro de document 03019923
Statut Délivré - en vigueur
Date de dépôt 2017-04-19
Date de disponibilité au public 2017-10-26
Date d'octroi 2021-01-12
Propriétaire MITCHELL INTERNATIONAL INC. (USA)
Inventeur(s) Rozint, John Joseph

Abrégé

A new automotive collision repair technology is provided, including system and data flow architectures that are designed to provide enhanced data and enhanced data flow in the context of vehicle diagnosis and repair, particularly when repairs are necessary due to collisions. In some examples, the data flow through the network is streamlined, to avoid network congestion, to use fewer computer and network resources and/or to enable the utilization of smaller databases. In other examples, enhanced access to data in real-time and near real-time enabled by a Workflow Module supports more accurate and timely decisions on vehicle repair. An advantage of this new automotive collision repair technology is that it enables proper and proven repairs, which in turns increases operation safety of repaired vehicle and people safety.

Classes IPC  ?

  • G01M 17/00 - Test des véhicules
  • G07C 5/00 - Enregistrement ou indication du fonctionnement de véhicules

17.

SYSTEMS AND METHODS FOR USE OF DIAGNOSTIC SCAN TOOL IN AUTOMOTIVE COLLISION REPAIR

      
Numéro de document 03092411
Statut En instance
Date de dépôt 2017-04-19
Date de disponibilité au public 2017-10-26
Propriétaire MITCHELL INTERNATIONAL INC. (USA)
Inventeur(s) Rozint, John Joseph

Abrégé

ABSTRACT A new automotive collision repair technology is provided, including system and data flow architectures that are designed to provide enhanced data and enhanced data flow in the context of vehicle diagnosis and repair, particularly when repairs are necessary due to collisions. In some examples, the data flow through the network is streamlined, to avoid network congestion, to use fewer computer and network resources and/or to enable the utilization of smaller databases. In other examples, enhanced access to data in real-time and near real-time enabled by a Workflow Module supports more accurate and timely decisions on vehicle repair. An advantage of this new automotive collision repair technology is that it enables proper and proven repairs, which in turns increases operation safety of repaired vehicle and people safety. Date Recue/Date Received 2020-09-08

Classes IPC  ?

  • G06Q 10/06 - Ressources, gestion de tâches, gestion d'hommes ou de projets, p.ex. organisation, planification, ordonnancement ou affectation de ressources en temps, hommes ou machines; Planification dans l'entreprise; Modèles organisationnels
  • G06Q 10/10 - Bureautique, p.ex. gestion informatisée de courrier électronique ou logiciels de groupe; Gestion du temps, p.ex. calendriers, rappels, décompte de réunions ou de temps
  • B60S 5/00 - Maintenance, entretien, réparation ou révision des véhicules

18.

SYSTEMS AND METHODS FOR USE OF DIAGNOSTIC SCAN TOOL IN AUTOMOTIVE COLLISION REPAIR

      
Numéro de document 03143654
Statut En instance
Date de dépôt 2017-04-19
Date de disponibilité au public 2017-10-26
Propriétaire MITCHELL INTERNATIONAL INC. (USA)
Inventeur(s) Rozint, John Joseph

Abrégé

A new automotive collision repair technology is provided, including system and data flow architectures that are designed to provide enhanced data and enhanced data flow in the context of vehicle diagnosis and repair, particularly when repairs are necessary due to collisions. In some examples, the data flow through the network is streamlined, to avoid network congestion, to use fewer computer and network resources and/or to enable the utilization of smaller databases. In other examples, enhanced access to data in real-time and near real-time enabled by a Workflow Module supports more accurate and timely decisions on vehicle repair. An advantage of this new automotive collision repair technology is that it enables proper and proven repairs, which in turns increases operation safety of repaired vehicle and people safety.

19.

METHODS FOR IMPROVING AUTOMATED DAMAGE APPRAISAL AND DEVICES THEREOF

      
Numéro de document 02956780
Statut En instance
Date de dépôt 2017-01-31
Date de disponibilité au public 2017-08-01
Propriétaire MITCHELL INTERNATIONAL, INC. (USA)
Inventeur(s)
  • Sullivan, Beau
  • Nayak, Sunil

Abrégé

A method, non-transitory computer readable medium, and apparatus that improves automated damage appraisal includes analyzing one or more obtained images of property using a deep neural network with multiple hidden layers of units between an input and output and which has stored knowledge data encoded from one or more stored property damage images to identify which area of the property has damage. Damage data on an extent of the damage in the identified area of the property is determined using the deep neural network which has stored knowledge data encoded from one or more stored property damage images. The identified area of the property with the damage is mapped to one of a plurality of stored repair procedure templates to generate a list of one or more parts and one or more repair lines to make a repair. The generated data list for the identified area of the property with the damage is provided.

Classes IPC  ?

  • G06Q 50/16 - Immobilier
  • G06Q 30/02 - Marketing, p.ex. études et analyse de marchés, prospection, promotions, publicité, établissement du profil des acheteurs, gestion ou fidélisation de clientèle; Estimation ou détermination des prix
  • G06N 3/02 - Systèmes de calculateurs basés sur des modèles biologiques utilisant des modèles de réseaux neuronaux
  • G06T 7/00 - Analyse d'image

20.

SYSTEM AND METHOD OF ADMINISTERING, TRACKING AND MANAGING OF CLAIMS PROCESSING

      
Numéro de document 02342573
Statut Délivré - en vigueur
Date de dépôt 2001-04-03
Date de disponibilité au public 2001-10-03
Date d'octroi 2015-05-12
Propriétaire MITCHELL INTERNATIONAL, INC. (USA)
Inventeur(s)
  • Aquila, Anthony
  • Schrenk, Edward L.
  • Lyons, Thomas
  • Cole, Patrick
  • Griffin, David
  • Marsh, Mike
  • Hassold, Christian
  • Fisher, Frederick C.
  • Portal, Carlos

Abrégé

A system and method of administering, tracking and managing of claims processing.

Classes IPC  ?

  • G06Q 40/08 - Assurance, p.ex. analyse des risques ou pensions