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1.发明公开公开(公告)号：US20240087347A1
公开(公告)日：2024-03-14
申请号：US18519265
申请日：2023-11-27
Inventor： Joseph Antonetti , Abid Imran , Justin Loew , Calvin Moon , Gary Foreman
IPC: G06V30/196 , G06F18/21 , G06F18/25 , G06V30/19 , G06V30/262
CPC classification number: G06V30/1983 , G06F18/217 , G06F18/254 , G06V30/1916 , G06V30/1918 , G06V30/262 , G06V30/10
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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公开(公告)号：US20230135121A1
公开(公告)日：2023-05-04
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
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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3.发明授权公开(公告)号：US10255516B1
公开(公告)日：2019-04-09
申请号：US15680837
申请日：2017-08-18
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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4.发明申请公开(公告)号：US20210398005A1
公开(公告)日：2021-12-23
申请号：US17466308
申请日：2021-09-03
Inventor： Jerry Chen , Gary Foreman , Justin Loew , Ayush Kumar , Joseph Antonetti
Abstract: A method and system for improving analysis of social media and other usage data to determine user sentiments are disclosed. Social media posts are identified as relevant to determining user sentiments regarding a service provider. Posts are analyzed by machine learning algorithms to determine user general sentiments and specific sentiments. User interaction metrics indicating user interaction with service provider web site or application may also be analyzed. Sentiment and interaction determinations may be used with other data to predict likelihood of user attrition for services of the service provider. Sentiment determinations associated with social media posts may further be used to determine priority levels for the posts, including response urgency levels. Determined priority levels may then be used to implement appropriate actions in a timely manner based upon the post urgency.
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5.发明授权公开(公告)号：US11120355B1
公开(公告)日：2021-09-14
申请号：US16836095
申请日：2020-03-31
Inventor： Jerry Chen , Gary Foreman , Justin Loew , Ayush Kumar , Joseph Antonetti
Abstract: A method and system for improving analysis of social media and other usage data to determine user sentiments are disclosed. Social media posts are identified as relevant to determining user sentiments regarding a service provider. Posts are analyzed by machine learning algorithms to determine user general sentiments and specific sentiments. User interaction metrics indicating user interaction with service provider web site or application may also be analyzed. Sentiment and interaction determinations may be used with other data to predict likelihood of user attrition for services of the service provider. Sentiment determinations associated with social media posts may further be used to determine priority levels for the posts, including response urgency levels. Determined priority levels may then be used to implement appropriate actions in a timely manner based upon the post urgency.
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Patent Agency Ranking
6.发明授权公开(公告)号：US11830265B2
公开(公告)日：2023-11-28
申请号：US17832546
申请日：2022-06-03
Inventor： Joseph Antonetti , Abid Imran , Justin Loew , Calvin Moon , Gary Foreman
IPC: G06V30/19 , G06V30/196 , G06F18/21 , G06F18/25 , G06V30/262 , G06V30/10
CPC classification number: G06V30/1983 , G06F18/217 , G06F18/254 , G06V30/1916 , G06V30/1918 , G06V30/262 , G06V30/10
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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7.发明授权公开(公告)号：US11625634B2
公开(公告)日：2023-04-11
申请号：US17466308
申请日：2021-09-03
Inventor： Jerry Chen , Gary Foreman , Justin Loew , Ayush Kumar , Joseph Antonetti
Abstract: A method and system for improving analysis of social media and other usage data to determine user sentiments are disclosed. Social media posts are identified as relevant to determining user sentiments regarding a service provider. Posts are analyzed by machine learning algorithms to determine user general sentiments and specific sentiments. User interaction metrics indicating user interaction with service provider web site or application may also be analyzed. Sentiment and interaction determinations may be used with other data to predict likelihood of user attrition for services of the service provider. Sentiment determinations associated with social media posts may further be used to determine priority levels for the posts, including response urgency levels. Determined priority levels may then be used to implement appropriate actions in a timely manner based upon the post urgency.
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8.发明申请公开(公告)号：US20220301279A1
公开(公告)日：2022-09-22
申请号：US17832546
申请日：2022-06-03
Inventor： Joseph Antonetti , Abid Imran , Justin Loew , Calvin Moon , Gary Foreman
IPC: G06V10/44 , G06V30/196 , G06K9/62 , G06V10/70
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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公开(公告)号：US10769223B1
公开(公告)日：2020-09-08
申请号：US15596141
申请日：2017-05-16
Inventor： Sumit Patel , Dajun Xu , Albert Man , Bradley A. Sliz , Gary Foreman
IPC: G06F16/9535 , G06N3/08 , G06F16/35 , G06F16/583 , G06Q50/00 , G06K9/62 , G06K9/00 , G06F16/28
Abstract: Systems and methods are described for the identification and classification of a social media posting. In various aspects, image-based data and text-based data may be collected from one or more social media data sources associated with a social media posting. Event related data may then be extracted from each of the image-based data and the text-based data, in which the event related data is indicative of one or more life events associated with a social media user who posted the social media posting. One or more life event classifications may be determined from the event related data and an activity, such as sending a message or article to the social media user, may be triggered as a result.
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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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