Determination of Population Density Using Convoluted Neural Networks

    公开(公告)号:US20200065633A1

    公开(公告)日:2020-02-27

    申请号:US16672053

    申请日:2019-11-01

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a method includes receiving an image on a computing device. The computing device may further execute a classification algorithm to determine whether a target feature is present in the received image. As an example, the classification algorithm may determine whether a building is depicted in the received image. In response to determining that a target feature is present, the method further includes using a segmentation algorithm to segment the received image for the target feature. Based on a determined footprint size of the target feature, a distribution of statistical information over the target feature in the image can be calculated.

    Determination of Population Density Using Convoluted Neural Networks

    公开(公告)号:US20190130224A1

    公开(公告)日:2019-05-02

    申请号:US15795741

    申请日:2017-10-27

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a method includes receiving an image on a computing device. The computing device may further execute a weakly-supervised classification algorithm to determine whether a target feature is present in the received image. As an example, the weakly-supervised classification algorithm may determine whether a building is depicted in the received image. In response to determining that a target feature is present, the method further includes using a weakly-supervised segmentation algorithm of the convoluted neural network to segment the received image for the target feature. Based on a determined footprint size of the target feature, a distribution of statistical information over the target feature in the image can be calculated.

    DEPLOYING LINE-OF-SIGHT COMMUNICATION NETWORKS

    公开(公告)号:US20200220620A1

    公开(公告)日:2020-07-09

    申请号:US16821595

    申请日:2020-03-17

    Applicant: Facebook, Inc.

    Abstract: Various of the disclosed embodiments relate to line-of-sight (LOS), e.g., optical, based networks. Systems and methods for determining where to place and how to configure nodes in an optically connected network across a geographic region are provided. Various factors concerning the region may be collected, including, e.g., building locations and height, building types, population densities, backbone connection locations, recurring weather factors, geographic elevation, etc. The algorithm may iteratively place nodes based upon the accessible range of a preceding contemplated node position.

    DEPLOYING LINE-OF-SIGHT COMMUNICATION NETWORKS
    9.
    发明申请
    DEPLOYING LINE-OF-SIGHT COMMUNICATION NETWORKS 有权
    部署线路通信网络

    公开(公告)号:US20160134373A1

    公开(公告)日:2016-05-12

    申请号:US14534690

    申请日:2014-11-06

    Applicant: Facebook, Inc.

    CPC classification number: H04B10/1129 H04L29/08657 H04W64/00 H04W64/003

    Abstract: Various of the disclosed embodiments relate to line-of-sight (LOS), e.g., optical, based networks. Systems and methods for determining where to place and how to configure nodes in an optically connected network across a geographic region are provided. Various factors concerning the region may be collected, including, e.g.,: building locations and height, building types, population densities, backbone connection locations, recurring weather factors, geographic elevation, etc. The algorithm may iteratively place nodes based upon the accessible range of a preceding contemplated node position.

    Abstract translation: 所公开的实施例中的各种涉及视线(LOS),例如基于光学的网络。 提供了用于确定在何处放置何处的系统和方法以及如何在跨地理区域的光学连接的网络中配置节点。 可以收集有关该地区的各种因素,包括:建筑位置和高度,建筑类型,人口密度,主干连接位置,经常性天气因素,地理高程等。该算法可以基于可访问范围 前一个预定的节点位置。

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