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公开(公告)号：US20150005012A1
公开(公告)日：2015-01-01
申请号：US14329812
申请日：2014-07-11
Applicant: GOOGLE INC.
Inventor： Xiaohang Wang , Farhan Shamsi , Yakov Okshtein , David Singleton , Debra Lin Repenning , Lixin Zhang , Marcus Alexander Foster
IPC: H04W4/02
CPC classification number: H04W4/021 , G06F17/3087 , G08B1/08 , H04W4/12 , H04W64/003
Abstract: A geofence management system obtains location data for points of interest. The geofence management system determines, at the option of the user, the location of a user mobile computing device relative to specific points of interest and alerts the user when the user nears the points of interest. The geofence management system, however, determines relationships among the identified points of interest, and associates or “clusters” the points of interest together based on the determined relationships. Rather than establishing separate geofences for multiple points of interest, and then alerting the user each time the user's mobile device enters each geofence boundary, the geofence management system establishes a single geofence boundary for the associated points of interest. When the user's mobile device enters the clustered geofence boundary, the geofence management system notifies the user device to alert the user of the entrance event. The user then receives the clustered, geofence-based alert.
Abstract translation: 地理围栏管理系统获取兴趣点的位置数据。 地理围栏管理系统可以根据用户的选择确定用户移动计算设备相对于特定兴趣点的位置，并且在用户接近兴趣点时提醒用户。 然而，地理围栏管理系统根据所确定的关系确定所识别的兴趣点之间的关系，以及关联点或“聚集”兴趣点在一起。 而不是为多个兴趣点建立单独的地理围栏，然后每当用户的移动设备进入每个地理围栏边界时提醒用户，地理围栏管理系统为相关联的兴趣点建立单一的地理围栏边界。 当用户的移动设备进入群集地理围栏边界时，地理围栏管理系统通知用户设备提醒用户入口事件。 然后，用户接收基于地理位置的群集警报。
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公开(公告)号：US20150003666A1
公开(公告)日：2015-01-01
申请号：US13931966
申请日：2013-06-30
Applicant: GOOGLE INC.
Inventor： Xiaohang Wang , Jeff Huber , Farhan Shamsi , Yakov Okshtein , Sanjiv Kumar , Henry Allan Rowley , Marcus Quintana Mitchell , Debra Lin Repenning
IPC: G06K9/18
CPC classification number: G06K9/00469 , G06K9/00463 , G06K9/2063 , G06K9/3283 , G06K9/6201 , G06K2209/01
Abstract: Extracting financial card information with relaxed alignment comprises a method to receive an image of a card, determine one or more edge finder zones in locations of the image, and identify lines in the one or more edge finder zones. The method further identifies one or more quadrilaterals formed by intersections of extrapolations of the identified lines, determines an aspect ratio of the one or more quadrilateral, and compares the determined aspect ratios of the quadrilateral to an expected aspect ratio. The method then identifies a quadrilateral that matches the expected aspect ratio and performs an optical character recognition algorithm on the rectified model. A similar method is performed on multiple cards in an image. The results of the analysis of each of the cards are compared to improve accuracy of the data.
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公开(公告)号：US20150001300A1
公开(公告)日：2015-01-01
申请号：US14077780
申请日：2013-11-12
Applicant: GOOGLE INC.
Inventor： Sanjiv Kumar , Xiaohang Wang , Jose Moreira Rodrigues , Farhan Shamsi , Yakov Okshtein , Henry Allan Rowley , Marcus Quintana Mitchell , Zhifei Li
IPC: G06K7/10
CPC classification number: G06K9/186 , G06K7/10 , G06K9/00469 , G06K9/18 , G06K9/2054 , G06K9/228 , G06K9/6202 , G06K2209/01 , G06Q20/32 , G06Q20/3223 , G06Q20/3276 , G06Q20/34 , G06Q20/36 , H04N1/00307
Abstract: Extracting card data comprises receiving, by one or more computing devices, a digital image of a card; perform an image recognition process on the digital representation of the card; identifying an image in the digital representation of the card; comparing the identified image to an image database comprising a plurality of images and determining that the identified image matches a stored image in the image database; determining a card type associated with the stored image and associating the card type with the card based on the determination that the identified image matches the stored image; and performing a particular optical character recognition algorithm on the digital representation of the card, the particular optical character recognition algorithm being based on the determined card type. Another example uses an issuer identification number to improve data extraction. Another example compares extracted data with user data to improve accuracy.
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公开(公告)号：US20140257747A1
公开(公告)日：2014-09-11
申请号：US13786434
申请日：2013-03-05
Applicant: GOOGLE INC.
Inventor： Debra Lin Repenning , Ray Xiaohang Wang , Yakov Okshtein , Farhan Shamsi , David Singleton , Lixin Zhang , Alan Newberger , Chandrasekhar Thota , Douglas Alexander Gresham , Nicholas Fey , Marcus Alexander Folster , Petra Cross , Andres Morales
IPC: G01C21/00
CPC classification number: H04W4/027 , G01C21/00 , G01C21/3679 , H04L67/26 , H04W4/02 , H04W4/021 , H04W4/022 , H04W4/029 , H04W4/20 , H04W4/21
Abstract: Receiving point of interest zones and alerts on user devices comprises communicating, by a user computing device to a remote computing device, a request for point of interest data corresponding to points of interest within a proximity of the user device; presenting the received point of interest data; identifying a particular point of interest; and outputting an alert regarding the particular point of interest. Receiving point of interest zones on user devices comprises communicating a request for point of interest data; receiving the point of interest data from the remote network device wherein a size of the point of interest zone is determined based on a density of points of interest in the proximity of the user, and wherein the shape of the point of interest zone is expanded in a direction of travel and contracted in the opposite direction; and presenting the received point of interest data.
Abstract translation: 在用户设备上接收兴趣点区域和警报包括由用户计算设备向远程计算设备通知与用户设备附近的兴趣点对应的兴趣点数据的请求; 呈现接收的兴趣点数据; 识别一个特定的兴趣点; 并输出关于特定兴趣点的警报。 在用户设备上接收兴趣点区域包括传送关于兴趣点数据的请求; 从所述远程网络设备接收所述兴趣点数据，其中，基于所述用户附近的兴趣点的密度来确定所述兴趣点区域的大小，并且其中所述兴趣点区域的形状在 旅行方向与方向相反; 并呈现所接收的兴趣点数据。
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公开(公告)号：US09872147B2
公开(公告)日：2018-01-16
申请号：US14572755
申请日：2014-12-16
Applicant: GOOGLE INC.
Inventor： Xiaohang Wang , Farhan Shamsi , Yakov Okshtein , David Singleton , Douglas Alexander Gresham , Alan Newberger , Lixin Zhang
CPC classification number: H04W4/027 , G01C21/00 , G01C21/3679 , H04L67/26 , H04W4/02 , H04W4/021 , H04W4/022 , H04W4/029 , H04W4/20 , H04W4/21
Abstract: Receiving point of interest zones and alerts on user devices comprises communicating, by a user computing device to a remote computing device, a request for point of interest data corresponding to points of interest within a proximity of the user device; presenting the received point of interest data; identifying a particular point of interest; and outputting an alert regarding the particular point of interest. Receiving point of interest zones on user devices comprises communicating a request for point of interest data; receiving the point of interest data from the remote network device wherein a size of the point of interest zone is determined based on a density of points of interest in the proximity of the user, and wherein the shape of the point of interest zone is expanded in a direction of travel and contracted in the opposite direction; and presenting the received point of interest data.
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Patent Agency Ranking
公开(公告)号：US20180014155A1
公开(公告)日：2018-01-11
申请号：US15710351
申请日：2017-09-20
Applicant: GOOGLE INC.
Inventor： Xiaohang Wang , Farhan Shamsi , Yakov Okshtein , David Singleton , Debra Lin Repenning , Lixin Zhang , Marcus Alexander Foster
CPC classification number: H04W4/021 , G06F17/3087 , G08B1/08 , H04W4/12 , H04W64/003
Abstract: A geofence management system obtains location data for points of interest. The geofence management system determines, at the option of the user, the location of a user mobile computing device relative to specific points of interest and alerts the user when the user nears the points of interest. The geofence management system, however, determines relationships among the identified points of interest, and associates or “clusters” the points of interest together based on the determined relationships. Rather than establishing separate geofences for multiple points of interest, and then alerting the user each time the user's mobile device enters each geofence boundary, the geofence management system establishes a single geofence boundary for the associated points of interest. When the user's mobile device enters the clustered geofence boundary, the geofence management system notifies the user device to alert the user of the entrance event. The user then receives the clustered, geofence-based alert.
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公开(公告)号：US20170142550A1
公开(公告)日：2017-05-18
申请号：US15420676
申请日：2017-01-31
Applicant: GOOGLE INC.
Inventor： Xiaohang Wang , Farhan Shamsi , Yakov Okshtein , David Singleton , Debra Lin Repenning , Lixin Zhang , Marcus Alexander Foster
CPC classification number: H04W4/021 , G06F17/3087 , G08B1/08 , H04W4/12 , H04W64/003
Abstract: A geofence management system obtains location data for points of interest. The geofence management system determines, at the option of the user, the location of a user mobile computing device relative to specific points of interest and alerts the user when the user nears the points of interest. The geofence management system, however, determines relationships among the identified points of interest, and associates or “clusters” the points of interest together based on the determined relationships. Rather than establishing separate geofences for multiple points of interest, and then alerting the user each time the user's mobile device enters each geofence boundary, the geofence management system establishes a single geofence boundary for the associated points of interest. When the user's mobile device enters the clustered geofence boundary, the geofence management system notifies the user device to alert the user of the entrance event. The user then receives the clustered, geofence-based alert.
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公开(公告)号：US09596563B2
公开(公告)日：2017-03-14
申请号：US14727795
申请日：2015-06-01
Applicant: GOOGLE INC.
Inventor： Xiaohang Wang , Farhan Shamsi , Yakov Okshtein , David Singleton , Debra Lin Repenning , Lixin Zhang , Marcus Alexander Foster
CPC classification number: H04W4/021 , G06F17/3087 , G08B1/08 , H04W4/12 , H04W64/003
Abstract: A geofence management system obtains location data for points of interest. The geofence management system determines, at the option of the user, the location of a user mobile computing device relative to specific points of interest and alerts the user when the user nears the points of interest. The geofence management system, however, determines relationships among the identified points of interest, and associates or “clusters” the points of interest together based on the determined relationships. Rather than establishing separate geofences for multiple points of interest, and then alerting the user each time the user's mobile device enters each geofence boundary, the geofence management system establishes a single geofence boundary for the associated points of interest. When the user's mobile device enters the clustered geofence boundary, the geofence management system notifies the user device to alert the user of the entrance event. The user then receives the clustered, geofence-based alert.
Abstract translation: 地理围栏管理系统获取兴趣点的位置数据。 地理围栏管理系统可以根据用户的选择确定用户移动计算设备相对于特定兴趣点的位置，并且在用户接近兴趣点时提醒用户。 然而，地理围栏管理系统根据所确定的关系确定所识别的兴趣点之间的关系，以及关联点或“聚集”兴趣点在一起。 而不是为多个兴趣点建立单独的地理围栏，然后每当用户的移动设备进入每个地理围栏边界时提醒用户，地理围栏管理系统为相关联的兴趣点建立单一的地理围栏边界。 当用户的移动设备进入群集地理围栏边界时，地理围栏管理系统通知用户设备提醒用户入口事件。 然后，用户接收基于地理位置的群集警报。
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公开(公告)号：US09514359B2
公开(公告)日：2016-12-06
申请号：US13947020
申请日：2013-07-19
Applicant: GOOGLE INC.
Inventor： Marcus Quintana Mitchell , Peter Hazlehurst , Xiaohang Wang , Debra Lin Repenning , Yakov Okshtein , Sanjiv Kumar , Farhan Shamsi , Henry Allan Rowley
CPC classification number: G06K9/00449 , G06K9/00483 , G06K9/00536 , G06K2209/01
Abstract: Providing improved card art for display comprises receiving, by one or more computing devices, an image of a card and performing an image recognition algorithm on the image. The computing device identifies images represented on the card image and comparing the identified images to an image database. The computing device determines a standard card art image associated with the identified image based at least in part on the comparison and associates the standard card art image with an account of a user, the account being associated with the card in the image. The computing device displays the standard card art as a representation of the account.
Abstract translation: 提供用于显示的改进的卡片艺术品包括由一个或多个计算设备接收卡片的图像并在图像上执行图像识别算法。 计算设备识别卡片图像上表示的图像，并将识别的图像与图像数据库进行比较。 计算设备至少部分地基于比较来确定与所识别的图像相关联的标准卡片艺术图像，并且将标准卡片艺术图像与用户的帐户相关联，该帐户与图像中的卡片相关联。 计算设备将标准卡片艺术作为帐户的表示显示。
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公开(公告)号：US20160292527A1
公开(公告)日：2016-10-06
申请号：US15184198
申请日：2016-06-16
Applicant: GOOGLE INC.
Inventor： Sanjiv Kumar , Henry Allan Rowley , Xiaohang Wang , Yakov Okshtein , Farhan Shamsi , Alessandro Bissacco
CPC classification number: G06K9/6201 , G06K9/00201 , G06K9/00469 , G06K9/00483 , G06K9/03 , G06K9/036 , G06K9/18 , G06K9/20 , G06K9/2054 , G06K9/228 , G06K9/344 , G06K9/6202 , G06K9/78 , G06K2009/2045 , G06K2209/01 , G06K2209/40 , G06Q20/322 , G06Q20/327 , G06Q20/34 , G06Q20/4016 , G06T17/00
Abstract: Comparing extracted card data from a continuous scan comprises receiving, by one or more computing devices, a digital scan of a card; obtaining a plurality of images of the card from the digital scan of the physical card; performing an optical character recognition algorithm on each of the plurality of images; comparing results of the application of the optical character recognition algorithm for each of the plurality of images; determining if a configured threshold of the results for each of the plurality of images match each other; and verifying the results when the results for each of the plurality of images match each other. Threshold confidence level for the extracted card data can be employed to determine the accuracy of the extraction. Data is further extracted from blended images and three-dimensional models of the card. Embossed text and holograms in the images may be used to prevent fraud.
Abstract translation: 比较来自连续扫描的提取的卡数据包括由一个或多个计算设备接收卡的数字扫描; 从所述物理卡的数字扫描中获取所述卡的多个图像; 对所述多个图像中的每一个执行光学字符识别算法; 比较针对所述多个图像中的每一个的所述光学字符识别算法的应用结果; 确定所述多个图像中的每一个的结果的配置阈值是否彼此匹配; 以及当多个图像中的每一个的结果彼此匹配时验证结果。 可以采用提取的卡数据的阈值置信水平来确定提取的准确性。 从混合图像和卡片的三维模型进一步提取数据。 图像中的压纹文字和全息图可能被用来防止欺诈。
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