AUTOMATION TO REDUCE LOCATION ERROR RATE IN E911 LOCATION-BASED SERVICES

    公开(公告)号:US20230388764A1

    公开(公告)日:2023-11-30

    申请号:US17752633

    申请日:2022-05-24

    CPC classification number: H04W4/80 H04W4/023 G06V20/13 G06V20/176 G06V10/764

    Abstract: Aspects of the subject disclosure may include, for example, a device comprising: a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, the operations comprising: obtaining a list of a plurality of known cell sites, the list comprising for each known cell site of the plurality of known cell sites a respective set of known geospatial coordinates; obtaining for each set of known geospatial coordinates, a corresponding aerial image; applying each corresponding aerial image to an automated process to generate a model, the model being usable to determine whether a particular test aerial image depicts a cell site; obtaining from a database an identification of an asserted cell site, the identification of the asserted cell site comprising a set of asserted geospatial coordinates; obtaining for the set of asserted geospatial coordinates, a test aerial image; applying the test aerial image to the model to determine whether the test aerial image depicts the asserted cell site, resulting in a determination; and outputting the determination of whether the test aerial image depicts the asserted cell site. Other embodiments are disclosed.

    Virtualized Services Discovery and Recommendation Engine

    公开(公告)号:US20220027969A1

    公开(公告)日:2022-01-27

    申请号:US17492797

    申请日:2021-10-04

    Abstract: Concepts and technologies are disclosed herein for a virtualized services discovery and recommendation engine. A request for a service can be received from a requestor. The request can include feature data that can define two or more features. Two or more features can be determined based on the feature data and requestor data associated with the requestor can be obtained. Two or more services that satisfy the request can be identified and a recommendation that represents the two or more services can be generated. The recommendation can include a data representation of a custom product that can include the two or more services. The recommendation can be tested to determine if the custom product functions, and the recommendation can be provided to the requestor.

    Virtualized services discovery and recommendation engine

    公开(公告)号:US10127587B2

    公开(公告)日:2018-11-13

    申请号:US14931997

    申请日:2015-11-04

    Abstract: Concepts and technologies are disclosed herein for a virtualized services discovery and recommendation engine. A request for a service can be received from a requestor. The request can include feature data that can define two or more features. Two or more features can be determined based on the feature data and requestor data associated with the requestor can be obtained. Two or more services that satisfy the request can be identified and a recommendation that represents the two or more services can be generated. The recommendation can include a data representation of a custom product that can include the two or more services. The recommendation can be tested to determine if the custom product functions, and the recommendation can be provided to the requestor.

    Virtualized Services Discovery and Recommendation Engine

    公开(公告)号:US20170124614A1

    公开(公告)日:2017-05-04

    申请号:US14931997

    申请日:2015-11-04

    CPC classification number: G06Q30/0609 G06Q30/0611 G06Q30/0621 G06Q30/0631

    Abstract: Concepts and technologies are disclosed herein for virtualized services discovery and recommendation engine. A request for a service can be received from a requestor. The request can include feature data that can define two or more features. Two or more features can be determined based on the feature data and requestor data associated with the requestor can be obtained. Two or more services that satisfy the request can be identified and a recommendation that represents the two or more services can be generated. The recommendation can include a data representation of a custom product that can include the two or more services. The recommendation can be tested to determine if the custom product functions, and the recommendation can be provided to the requestor

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