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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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2.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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3.发明授权公开(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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4.发明授权公开(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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Patent Agency Ranking
5.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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6.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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7.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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8.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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9.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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