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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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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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13.
公开(公告)号:US11380083B1
公开(公告)日:2022-07-05
申请号:US17009132
申请日:2020-09-01
Inventor: Joseph Antonetti , Abid Imran , Justin Loew , Calvin Moon , Gary Foreman
Abstract: The present disclosure is directed to systems and methods for analyzing digital images to determine alphanumeric strings depicted in the digital images. An electronic device may generate a set of filtered images using a received digital image. The electronic device may also perform an optical character recognition (OCR) technique on the set of filtered images, and may filter out any of the set of filtered images according to a set of rules. The electronic device may further identify a set of common elements representative of the alphanumeric string depicted in the digital image, and determine a machine-encoded alphanumeric string based on the set of common elements.
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14.
公开(公告)号:US10769482B1
公开(公告)日:2020-09-08
申请号:US16283088
申请日:2019-02-22
Inventor: Joseph Antonetti , Abid Imran , Justin Loew , Calvin Moon , Gary Foreman
Abstract: The present disclosure is directed to systems and methods for analyzing digital images to determine alphanumeric strings depicted in the digital images. An electronic device may generate a set of filtered images using a received digital image. The electronic device may also perform an optical character recognition (OCR) technique on the set of filtered images, and may filter out any of the set of filtered images according to a set of rules. The electronic device may further identify a set of common elements representative of the alphanumeric string depicted in the digital image, and determine a machine-encoded alphanumeric string based on the set of common elements.
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