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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
发明人： Holly Lambert , Shane Tomlinson , Daniel J. Green , Bradley A. Sliz , Marigona Bokshi-Drotar , Holly Kay Sanderson , Derek Lawless , He Yang , Jennifer Malia Andrus
摘要： 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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12.发明授权公开(公告)号：US10832065B1
公开(公告)日：2020-11-10
申请号：US16009983
申请日：2018-06-15
发明人： Holly Lambert , Jennifer Malia Andrus , Marigona Bokshi-Drotar , Shane Tomlinson , Daniel J. Green , Michael Bernico , Bradley A. Sliz , He Yang
摘要： 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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13.发明申请公开(公告)号：US20220114627A1
公开(公告)日：2022-04-14
申请号：US17556446
申请日：2021-12-20
发明人： Shane Tomlinson , Jennifer Malia Andrus , Marigona Bokshi-Drotar , Holly Lambert , Daniel J. Green , Michael Bernico , Bradley A. Sliz , He Yang
摘要： 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：US10762385B1
公开(公告)日：2020-09-01
申请号：US16023414
申请日：2018-06-29
IPC分类号： G06K9/00 , G06K9/62 , G06N3/08 , G06Q40/08 , G06F16/583
摘要： In a computer-implemented method and associated tangible non-transitory computer-readable medium, an image of a damaged vehicle may be analyzed to generate a repair estimate. A dataset populated with digital images of damaged vehicles and associated claim data may be used to train a deep learning neural network to learn damaged vehicle image characteristics that are predictive of claim data characteristics, and a predictive similarity model may be generated. Using the predictive similarity model, one or more similarity scores may be generated for a digital image of a newly damaged vehicle, indicating its similarity to one or more digital images of damaged vehicles with known damage level, repair time, and/or repair cost. A repair estimate may be generated for the newly damaged vehicle based on the claim data associated with images that are most similar to the image of the newly damaged vehicle.
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15.发明公开公开(公告)号：US20240354818A1
公开(公告)日：2024-10-24
申请号：US18754362
申请日：2024-06-26
发明人： Shane Tomlinson , Marigona Bokshi-Drotar , Jennifer Malia Andrus , Holly Lambert , He Yang , Bradley A. Sliz , Daniel J. Green , Michael Bernico
IPC分类号： G06Q30/0283 , G06N20/00 , G06Q10/0875 , G06Q10/20 , G06T7/00 , G06V10/70
CPC分类号： G06Q30/0283 , G06N20/00 , G06Q10/0875 , G06Q10/20 , G06T7/0004 , G06V10/70 , G06T2207/20081 , G06T2207/30248
摘要： 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：US12008658B2
公开(公告)日：2024-06-11
申请号：US18110510
申请日：2023-02-16
IPC分类号： G06Q40/08 , G06F16/583 , G06F18/214 , G06F18/22 , G06N3/08 , G06V10/74 , G06V10/82
CPC分类号： G06Q40/08 , G06F16/583 , G06F18/214 , G06F18/22 , G06N3/08 , G06V10/761 , G06V10/82 , G06V2201/08
摘要： In a computer-implemented method and associated tangible non-transitory computer-readable medium, an image of a damaged vehicle may be analyzed to generate a repair estimate. A dataset populated with digital images of damaged vehicles and associated claim data may be used to train a deep learning neural network to learn damaged vehicle image characteristics that are predictive of claim data characteristics, and a predictive similarity model may be generated. Using the predictive similarity model, one or more similarity scores may be generated for a digital image of a newly damaged vehicle, indicating its similarity to one or more digital images of damaged vehicles with known damage level, repair time, and/or repair cost. A repair estimate may be generated for the newly damaged vehicle based on the claim data associated with images that are most similar to the image of the newly damaged vehicle.
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17.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
发明人： Shane Tomlinson , Jennifer Malia Andrus , Marigona Bokshi-Drotar , Holly Lambert , Daniel J. Green , Michael Bernico , Bradley A. Sliz , He Yang
摘要： 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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18.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
发明人： Holly Lambert , Jennifer Malia Andrus , Marigona Bokshi-Drotar , Shane Tomlinson , Daniel J. Green , Michael Bernico , Bradley A. Sliz , He Yang
摘要： 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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19.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
发明人： Holly Lambert , Jennifer Malia Andrus , Marigona Bokshi-Drotar , Shane Tomlinson , Daniel J. Green , Michael Bernico , Bradley A. Sliz , He Yang
摘要： 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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