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    CLUSTERING GEOFENCE-BASED ALERTS FOR MOBILE DEVICES
    72.
    发明申请
    CLUSTERING GEOFENCE-BASED ALERTS FOR MOBILE DEVICES 审中-公开

    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

    IPC: H04W4/02 ,  H04W4/12 ,  H04W64/00 ,  G08B1/08

    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.

    CLUSTERING GEOFENCE-BASED ALERTS FOR MOBILE DEVICES
    74.
    发明申请
    CLUSTERING GEOFENCE-BASED ALERTS FOR MOBILE DEVICES 有权

    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

    IPC: H04W4/02 ,  H04W64/00 ,  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.

    Clustering geofence-based alerts for mobile devices
    75.
    发明授权
    Clustering geofence-based alerts for mobile devices 有权
    针对移动设备群集基于地理位置的警报

    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

    IPC: H04W4/02 ,  H04W64/00 ,  H04W4/12 ,  G08B1/08

    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。

    Classifying open-loop and closed-loop payment cards based on optical character recognition
    76.
    发明授权
    Classifying open-loop and closed-loop payment cards based on optical character recognition 有权
    基于光学字符识别分类开环和闭环支付卡

    公开(公告)号：US09569796B2

    公开(公告)日：2017-02-14

    申请号：US15139295

    申请日：2016-04-26

    Applicant: GOOGLE INC.

    Inventor： Xiaohang Wang ,  Glenn Berntson

    IPC: G06Q20/34 ,  G06Q40/00 ,  G06K9/00 ,  G06K9/18 ,  G06Q20/36 ,  G06K9/32 ,  H04N5/225

    CPC classification number: G06Q40/00 ,  G06K9/00442 ,  G06K9/18 ,  G06K9/3258 ,  G06K2209/01 ,  G06Q20/34 ,  G06Q20/351 ,  G06Q20/36 ,  H04N5/2257

    Abstract: A user captures an image of a payment card via a user computing device camera. An optical character recognition system receives the payment card image from the user computing device. The system performs optical character recognition and visual object recognition algorithms on the payment card image to extract text and visual objects from the payment card image, which are used by the system to identify a payment card type. The system may categorize the payment card as an open-loop card or a closed-loop card, or as a credit card or a non-credit card. In an example embodiment, the system allows or prohibits extracted financial account information from the payment card to be saved in the digital wallet account based on the determined payment card category. In another example embodiment, the system transmits an advisement to the user based on the determined payment card category.

    Abstract translation: 用户通过用户计算设备相机捕获支付卡的图像。 光学字符识别系统从用户计算设备接收支付卡图像。 该系统在支付卡图像上执行光学字符识别和视觉对象识别算法，从支付卡图像中提取文本和视觉对象，系统用于识别支付卡类型。 系统可将支付卡分为开环卡或闭环卡，或信用卡或非信用卡。 在示例实施例中，系统允许或禁止从支付卡提取的金融账户信息基于所确定的支付卡类别被保存在数字钱包账户中。 在另一示例性实施例中，系统基于确定的支付卡类别向用户发送建议。

    Extracting card data with card models
    77.
    发明授权
    Extracting card data with card models 有权
    使用卡片型号提取卡片数据

    公开(公告)号：US09536160B2

    公开(公告)日：2017-01-03

    申请号：US14991516

    申请日：2016-01-08

    Applicant: GOOGLE INC.

    Inventor： Sanjiv Kumar ,  Henry Allan Rowley ,  Xiaohang Wang ,  Jose Jeronimo Moreira Rodrigues

    IPC: G06K9/00 ,  G06K9/18 ,  G06K9/62 ,  G06K9/66 ,  G06T3/00 ,  G06Q20/22 ,  G06Q20/34 ,  G07F7/08 ,  G06K9/32 ,  G06K9/46 ,  G06T7/00

    CPC classification number: G06K9/6269 ,  G06K9/00469 ,  G06K9/00536 ,  G06K9/18 ,  G06K9/186 ,  G06K9/3233 ,  G06K9/3258 ,  G06K9/46 ,  G06K9/6202 ,  G06K9/6267 ,  G06K9/66 ,  G06K2009/4666 ,  G06K2209/01 ,  G06Q20/227 ,  G06Q20/34 ,  G06T3/0012 ,  G06T7/11 ,  G06T2207/20132 ,  G07F7/0893

    Abstract: Embodiments herein provide computer-implemented techniques for allowing a user computing device to extract financial card information using optical character recognition (“OCR”). Extracting financial card information may be improved by applying various classifiers and other transformations to the image data. For example, applying a linear classifier to the image to determine digit locations before applying the OCR algorithm allows the user computing device to use less processing capacity to extract accurate card data. The OCR application may train a classifier to use the wear patterns of a card to improve OCR algorithm performance. The OCR application may apply a linear classifier and then a nonlinear classifier to improve the performance and the accuracy of the OCR algorithm. The OCR application uses the known digit patterns used by typical credit and debit cards to improve the accuracy of the OCR algorithm.

    Abstract translation: 这里的实施例提供了计算机实现的技术，用于允许用户计算设备使用光学字符识别（“OCR”）提取金融卡信息。 可以通过对图像数据应用各种分类器和其他变换来提高金融卡信息的提取。 例如，在应用OCR算法之前，对图像应用线性分类器以确定数字位置允许用户计算设备使用较少的处理能力来提取准确的卡数据。 OCR应用程序可以训练分类器来使用卡的磨损模式来改善OCR算法性能。 OCR应用可以应用线性分类器，然后应用非线性分类器来提高OCR算法的性能和准确性。 OCR应用程序使用典型的信用卡和借记卡使用的已知数字模式来提高OCR算法的准确性。

    Card art display
    78.
    发明授权
    Card art display 有权
    卡片艺术展示

    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

    IPC: G06K9/64 ,  G06K9/00

    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。

    COMPARING EXTRACTED CARD DATA USING CONTINUOUS SCANNING
    79.
    发明申请
    COMPARING EXTRACTED CARD DATA USING CONTINUOUS SCANNING 审中-公开
    使用连续扫描比较提取的卡数据

    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

    IPC: G06K9/18 ,  G06Q20/34 ,  G06K9/22 ,  G06Q20/40 ,  G06K9/62 ,  G06K9/00

    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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