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公开(公告)号：US11587046B1
公开(公告)日：2023-02-21
申请号：US16169547
申请日：2018-10-24
Inventor： Amber Wyatt , Chris Ray , Ashish Sawhney , Tim Husarik , Jose Gonzalez , Tracey Herring , Holly Lambert , Stephen Tinglestad , Jason Beckman , Andrea Foster , John Freymann , Shane Tomlinson , Akilah Hugine , Daniel Green , Eric Brown
Abstract: A system for instructing a user on repairing a vehicle configured to (i) receive, from the user, a request to repair a vehicle, including information about the vehicle; (ii) present, to the user via a user computer device, a user interface to allow the user to search for a repair facility to repair the vehicle; (iii) receive, from the user via the user interface, a selection of a repair facility; (iv) determine whether the selected repair facility is a select service location, where a select service location is a pre-authorized repair facility; and (v) if the selected repair facility is a select service location, transfer the information about the vehicle to a computer device associated with the selected repair facility.
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12.发明授权公开(公告)号：US11238506B1
公开(公告)日：2022-02-01
申请号：US16009859
申请日：2018-06-15
Inventor： Shane Tomlinson , Jennifer Malia Andrus , Marigona Bokshi-Drotar , Holly Lambert , Daniel J. Green , Michael Bernico , Bradley A. Sliz , He Yang
Abstract: A system and computer-implemented method for processing images of a damaged vehicle and estimating a repair cost of the damaged vehicle includes receiving image data of a vehicle from a user mobile device. The image data is processed to determine whether one or more parts of the damaged vehicle are damaged. In addition, one or more parts of the damaged vehicle are identified for repair and one or more parts of the damaged vehicle are identified for replacement. A cost associated for the repair of each of the one or more parts of the damaged vehicle for repair is estimated based on estimated repair cost data contained in a parts repair database. Moreover, a cost associated with the replacement of each of the one or more parts of the damaged vehicle for replacement is determined based on replacement cost data contained in a parts replacement database.
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13.发明授权公开(公告)号：US11106926B2
公开(公告)日：2021-08-31
申请号：US17081656
申请日：2020-10-27
Inventor： Holly Lambert , Jennifer Malia Andrus , Marigona Bokshi-Drotar , Shane Tomlinson , Daniel J. Green , Michael Bernico , Bradley A. Sliz , He Yang
Abstract: A system and computer-implemented method for automatically predicting the labor, hours, and parts costs for repair of a vehicle includes receiving one or more images of the vehicle from a policyholder. A damage assessment model is accessed. The damage assessment model corresponds to features of vehicle damage based on a plurality of damaged vehicle images contained in an image training database. The damage assessment model is compared to the images of the vehicle and vehicle damage is identified based on the images. In addition, in response to identifying the vehicle damage, total labor costs, total parts costs, and total hours for repair of the vehicle are predicted based on the associated total labor costs, total parts costs, and total hours for repair data contained in the historical claims database.
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14.发明申请公开(公告)号：US20200349370A1
公开(公告)日：2020-11-05
申请号：US16009983
申请日：2018-06-15
Inventor： Holly Lambert , Jennifer Malia Andrus , Marigona Bokshi-Drotar , Shane Tomlinson , Daniel J. Green , Michael Bernico , Bradley A. Sliz , He Yang
Abstract: A system and computer-implemented method for automatically predicting the labor, hours, and parts costs for repair of a vehicle includes receiving one or more images of the vehicle from a policyholder. A damage assessment model is accessed. The damage assessment model corresponds to features of vehicle damage based on a plurality of damaged vehicle images contained in an image training database. The damage assessment model is compared to the images of the vehicle and vehicle damage is identified based on the images. In addition, in response to identifying the vehicle damage, total labor costs, total parts costs, and total hours for repair of the vehicle are predicted based on the associated total labor costs, total parts costs, and total hours for repair data contained in the historical claims database.
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公开(公告)号：US20240370937A1
公开(公告)日：2024-11-07
申请号：US18773136
申请日：2024-07-15
Inventor： Carlee A. Clymer , Gary Foreman , Ronald R. Duehr , Denson Smith , Vincent M. Hummel , Bradley J. Walder , Chad Mychal Hirst , Justin Devore , Shane Tomlinson , David A. Pluimer , Pavan Kumar Bhagavatula , John Westhues , Tracey Leigh Knorr , Erin E. Miller , Joshua T. Monk , Aaron Ames , John G. McConkey , Michael Cicilio Fresquez , Himanshu Chhita , Jason Beckman , Douglas A. Graff , Michele Wittman , Alexis Cates , Stephen Young , Rajesh Panicker , Yohan Santos , Stephen Wilson , Carrie A. Read , Michael Brown , Robin A. Rose
Abstract: A method of identifying a vehicle total loss claim includes retrieving a plurality of historical vehicle records, labeling the records as repaired or total loss, calculating mean cost values, training a regression model, optimizing a probability threshold, analyzing a plurality of inputs to generate a prediction, and transmitting the prediction. A computing system includes a transceiver; a processor; and a memory storing instructions that, when executed by the processor, cause the computing system to receive answers, transmit the answers, receive a prediction, when the prediction is repairable, generate a repair suggestion, and when the prediction is total loss, generate a settlement offer. A non-transitory computer readable medium containing program instructions that when executed, cause a computer to receive answers, transmit the answers, receive a prediction, when the prediction is repairable, generate a repair suggestion, and when prediction is total loss, generate a settlement offer.
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Patent Agency Ranking
公开(公告)号：US12045893B2
公开(公告)日：2024-07-23
申请号：US18091702
申请日：2022-12-30
Inventor： Carlee A. Clymer , Gary Foreman , Ronald R. Duehr , Denson Smith , Vincent M. Hummel , Bradley J Walder , Chad Mychal Hirst , Justin Devore , Shane Tomlinson , David A Pluimer , Pavan Kumar Bhagavatula , John Westhues , Tracey Leigh Knorr , Erin E. Miller , Joshua T. Monk , Aaron Ames , John G. McConkey , Michael Cicilio Fresquez , Himanshu Chhita , Jason Beckman , Douglas A. Graff , Michele Wittman , Alexis Cates , Stephen Young , Rajesh Panicker , Yohan Santos , Stephen Wilson , Carrie A Read , Michael Brown , Robin A Rose
CPC classification number: G06Q40/08 , G06N7/01 , G07C5/0808 , G07C5/0841
Abstract: A method of identifying a vehicle total loss claim includes retrieving a plurality of historical vehicle records, labeling the records as repaired or total loss, calculating mean cost values, training a regression model, optimizing a probability threshold, analyzing a plurality of inputs to generate a prediction, and transmitting the prediction. A computing system includes a transceiver; a processor; and a memory storing instructions that, when executed by the processor, cause the computing system to receive answers, transmit the answers, receive a prediction, when the prediction is repairable, generate a repair suggestion, and when the prediction is total loss, generate a settlement offer. A non-transitory computer readable medium containing program instructions that when executed, cause a computer to receive answers, transmit the answers, receive a prediction, when the prediction is repairable, generate a repair suggestion, and when prediction is total loss, generate a settlement offer.
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17.发明授权公开(公告)号：US12039578B2
公开(公告)日：2024-07-16
申请号：US17556446
申请日：2021-12-20
Inventor： Shane Tomlinson , Jennifer Malia Andrus , Marigona Bokshi-Drotar , Holly Lambert , Daniel J. Green , Michael Bernico , Bradley A. Sliz , He Yang
IPC: G06Q30/02 , G06N20/00 , G06Q10/0875 , G06Q10/20 , G06Q30/0283 , G06T7/00 , G06V10/70
CPC classification number: G06Q30/0283 , G06N20/00 , G06Q10/0875 , G06Q10/20 , G06T7/0004 , G06V10/70 , G06T2207/20081 , G06T2207/30248
Abstract: A system and computer-implemented method for processing images of a damaged vehicle and estimating a repair cost of the damaged vehicle includes receiving image data of a vehicle from a user mobile device. The image data is processed to determine whether one or more parts of the damaged vehicle are damaged. In addition, one or more parts of the damaged vehicle are identified for repair and one or more parts of the damaged vehicle are identified for replacement. A cost associated for the repair of each of the one or more parts of the damaged vehicle for repair is estimated based on estimated repair cost data contained in a parts repair database. Moreover, a cost associated with the replacement of each of the one or more parts of the damaged vehicle for replacement is determined based on replacement cost data contained in a parts replacement database.
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公开(公告)号：US20230230166A1
公开(公告)日：2023-07-20
申请号：US16009698
申请日：2018-06-15
Inventor： Shane Tomlinson , Jennifer Malia Andrus , Marigona Bokshi-Drotar , Holly Lambert , Daniel J. Green , Michael Bernico , Bradley A. Sliz , He Yang
CPC classification number: G06Q40/08 , G06N99/005
Abstract: A system and computer-implemented method for classifying a level of vehicle damage includes receiving, at a remote server, captured image data of a vehicle from a user electronic device. The user electronic device has an orientation model configured to assist image capture. The image data is processed by the remote server using a damage assessment model. In addition, the remote server determines a classification for a level of damage to the vehicle based on the processed image data.
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公开(公告)号：US11574366B1
公开(公告)日：2023-02-07
申请号：US16593355
申请日：2019-10-04
Inventor： Carlee A. Clymer , Gary Foreman , Ronald R. Duehr , Denson Smith , Vincent M. Hummel , Bradley J. Walder , Chad Mychal Hirst , Justin Devore , Shane Tomlinson , David A. Pluimer , Pavan Bhagavatula , John Westhues , Tracey Leigh Knorr , Erin E. Miller , Joshua T. Monk , Aaron Ames , John G. McConkey , Michael Cicilio Fresquez , Himanshu Chhita , Jason Beckman , Douglas A. Graff , Michele Wittman , Alexis Danielle Cates , Stephen Young , Rajesh Panicker , Yohan Santos , Stephen Wilson , Carrie A. Read , Michael Brown , Robin A. Rose
Abstract: A method of identifying a vehicle total loss claim includes retrieving a plurality of historical vehicle records, labeling the records as repaired or total loss, calculating mean cost values, training a regression model, optimizing a probability threshold, analyzing a plurality of inputs to generate a prediction, and transmitting the prediction. A computing system includes a transceiver; a processor; and a memory storing instructions that, when executed by the processor, cause the computing system to receive answers, transmit the answers, receive a prediction, when the prediction is repairable, generate a repair suggestion, and when the prediction is total loss, generate a settlement offer. A non-transitory computer readable medium containing program instructions that when executed, cause a computer to receive answers, transmit the answers, receive a prediction, when the prediction is repairable, generate a repair suggestion, and when prediction is total loss, generate a settlement offer.
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公开(公告)号：US11159715B1
公开(公告)日：2021-10-26
申请号：US16941269
申请日：2020-07-28
Inventor： Holly Lambert , Shane Tomlinson , Daniel J. Green , Bradley A. Sliz , Marigona Bokshi-Drotar , Holly Kay Sanderson , Derek Lawless , He Yang , Jennifer Malia Andrus
Abstract: A system for capturing images of damage to an object configured to (i) store an orientation model associated with an object; (ii) receive, from a user, a request to analyze damage to the object; (iii) instruct the user to position a camera at a first position relative to the object; (iv) receive an image of the object from the camera; (v) determine whether the received image is properly framed; (vi) if the received image is not properly framed, instruct the user to adjust the position of the camera; and (vii) if the received image is properly framed, instruct the user to position the camera at a second position relative to the object. As a result, obtaining images of sufficient quality for proper processor analysis may be facilitated.
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