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    Configurable point of interest alerts
    31.
    发明授权
    Configurable point of interest alerts 有权
    可配置的兴趣点警报

    公开(公告)号：US09341479B2

    公开(公告)日：2016-05-17

    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 Foster ,  Petra Cross ,  Andres Morales

    IPC: G06F19/00 ,  G01C21/00 ,  H04W4/02 ,  G01C21/36 ,  H04L29/08 ,  H04W4/20

    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传达对应于用户设备附近的兴趣点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。

    CLUSTERING GEOFENCE-BASED ALERTS FOR MOBILE DEVICES
    32.
    发明申请
    CLUSTERING GEOFENCE-BASED ALERTS FOR MOBILE DEVICES 有权

    公开(公告)号：US20150264527A1

    公开(公告)日：2015-09-17

    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

    IPC: H04W4/02 ,  H04W4/12

    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.

    Threshold Confidence Levels for Extracted Card Data
    33.
    发明申请
    Threshold Confidence Levels for Extracted Card Data 审中-公开
    提取卡数据的阈值置信度

    公开(公告)号：US20150006360A1

    公开(公告)日：2015-01-01

    申请号：US14026738

    申请日：2013-09-13

    Applicant: GOOGLE INC.

    Inventor： Sanjiv Kumar ,  Henry Allan Rowley ,  Xiaohang Wang ,  Yakov Okshtein ,  Farhan Shamsi ,  Alessandro Bissacco

    IPC: G06Q20/32

    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。

    PAYMENT CARD OCR WITH RELAXED ALIGNMENT
    34.
    发明申请
    PAYMENT CARD OCR WITH RELAXED ALIGNMENT 有权
    付款卡OCR与放松对齐

    公开(公告)号：US20150003733A1

    公开(公告)日：2015-01-01

    申请号：US14462711

    申请日：2014-08-19

    Applicant: GOOGLE INC.

    Inventor： Xiaohang Wang ,  Farhan Shamsi ,  Yakov Okshtein ,  Sanjiv Kumar ,  Henry Allan Rowley ,  Marcus Quintana Mitchell ,  Debra Lin Repenning ,  Alessandro Bissacco ,  Justin Scheiner ,  Leon Palm

    IPC: G06K9/32

    CPC classification number: G06K9/3283 ,  G06K9/00469 ,  G06K9/18 ,  G06K9/228 ,  G06K9/325 ,  G06K9/40 ,  G06K2009/363 ,  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.

    Abstract translation: 以轻松对准的方式提取金融卡信息包括接收卡的图像的方法，在图像的位置确定一个或多个边缘查找器区域，并识别一个或多个边缘查找器区域中的线。 该方法还识别由所识别的线的外插的交点形成的一个或多个四边形，确定一个或多个四边形的纵横比，并将确定的四边形的纵横比与预期的纵横比进行比较。 然后，该方法识别与预期宽高比匹配的四边形，并在整流模型上执行光学字符识别算法。 在图像中的多个卡上执行类似的方法。 比较每个卡的分析结果，提高数据的准确性。

    Clustering geofence-based alerts for mobile devices
    35.
    发明授权
    Clustering geofence-based alerts for mobile devices 有权

    公开(公告)号：US08755824B1

    公开(公告)日：2014-06-17

    申请号：US13931751

    申请日：2013-06-28

    Applicant: Google Inc.

    Inventor： Xiaohang Wang ,  Farhan Shamsi ,  Yakov Okshtein ,  David Singleton ,  Debra Lin Repenning ,  Lixin Zhang ,  Marcus Alexander Foster

    IPC: H04M11/00 ,  G08B1/08 ,  H04W4/02 ,  H04W64/00

    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.

    Payment card OCR with relaxed alignment
    40.
    发明授权
    Payment card OCR with relaxed alignment 有权
    支付卡OCR轻松对齐

    公开(公告)号：US09594972B2

    公开(公告)日：2017-03-14

    申请号：US15158520

    申请日：2016-05-18

    Applicant: GOOGLE INC.

    Inventor： Xiaohang Wang ,  Farhan Shamsi ,  Yakov Okshtein ,  Sanjiv Kumar ,  Henry Allan Rowley ,  Marcus Quintana Mitchell ,  Debra Lin Repenning ,  Alessandro Bissacco ,  Justin Scheiner ,  Leon Palm

    IPC: G06K9/00 ,  G06K9/32 ,  G06K9/18 ,  G06K9/22 ,  G06K9/40 ,  G06K9/36

    CPC classification number: G06K9/3283 ,  G06K9/00469 ,  G06K9/18 ,  G06K9/228 ,  G06K9/325 ,  G06K9/40 ,  G06K2009/363 ,  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.

    Abstract translation: 以轻松对准的方式提取金融卡信息包括接收卡的图像的方法，在图像的位置确定一个或多个边缘查找器区域，并识别一个或多个边缘查找器区域中的线。 该方法还识别由所识别的线的外插的交点形成的一个或多个四边形，确定一个或多个四边形的纵横比，并将确定的四边形的纵横比与预期的纵横比进行比较。 然后，该方法识别与预期宽高比匹配的四边形，并在整流模型上执行光学字符识别算法。 在图像中的多个卡上执行类似的方法。 比较每个卡的分析结果，提高数据的准确性。

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