US Patent Application 17752633. AUTOMATION TO REDUCE LOCATION ERROR RATE IN E911 LOCATION-BASED SERVICES simplified abstract

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

Organization Name

AT&T Intellectual Property I, L.P.

Inventor(s)

Manoop Talasila of Somerset NJ (US)

Syed Anwar Aftab of Budd Lake NJ (US)

Leimeng Shi of Basking Ridge NJ (US)

Mukesh Mantan of Irving TX (US)

AUTOMATION TO REDUCE LOCATION ERROR RATE IN E911 LOCATION-BASED SERVICES - A simplified explanation of the abstract

This abstract first appeared for US patent application 17752633 titled 'AUTOMATION TO REDUCE LOCATION ERROR RATE IN E911 LOCATION-BASED SERVICES

Simplified Explanation

The patent application describes a device that uses a processing system and memory to perform operations related to identifying cell sites using aerial images.

• The device obtains a list of known cell sites and their geospatial coordinates.
• It obtains corresponding aerial images for each known cell site.
• The device applies an automated process to generate a model using the aerial images, which can determine if a test aerial image depicts a cell site.
• It retrieves an identification of an asserted cell site from a database, including its geospatial coordinates.
• The device obtains a test aerial image for the asserted cell site.
• It applies the test aerial image to the model to determine if it depicts the asserted cell site, resulting in a determination.
• The determination of whether the test aerial image depicts the asserted cell site is outputted.

Original Abstract Submitted

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.