Embodiments described herein provide for system and methods to crowdsource the location of wireless devices and accessories that lack a connection to a wide area network. One embodiment provides for a data processing system configured to perform operations comprising loading a user interface on an electronic device, the user interface to enable the determination of a location of a wireless accessory that is associated with the electronic device, generating a set of public keys included within a signal broadcast by the wireless accessory, the signal broadcast during a first period, sending the set of public keys to a server with a request to return data that corresponds with a public key in the set of public keys, decrypting the location data using a private key associated with the public key, and processing the location data to determine a probable location for the wireless accessory.

A computer implemented method in a communications network for determining location information about an actual location of a drone comprises obtaining (302) a reported location of the drone at a first time point and obtaining (304) a measurement of radio conditions between the drone and a node in the telecommunications network, at the first time point. The method then comprises predicting (306) radio conditions at one or more locations related to the reported location of the drone, and determining (308) the location information about the actual location of the drone based on the measured radio conditions and the predicted radio conditions.

A device may receive user equipment (UE) location data identifying a latitude and a longitude of a UE, as reported by the UE, and may receive network location data identifying a latitude and a longitude of the UE, as reported by a core network. The device may process the UE location data and the network location data to determine a confidence score associated with an actual location of the UE. The device may process the UE location data and the network location data, when the confidence score is outside a confidence interval, to determine whether the UE location data is valid. The device may perform one or more actions based on determining whether the UE location data is valid.

A device may receive user equipment (UE) location data identifying a latitude and a longitude of a UE, as reported by the UE, and may receive network location data identifying a latitude and a longitude of the UE, as reported by a core network. The device may process the UE location data and the network location data to determine a confidence score associated with an actual location of the UE. The device may process the UE location data and the network location data, when the confidence score is outside a confidence interval, to determine whether the UE location data is valid. The device may perform one or more actions based on determining whether the UE location data is valid.

A verification application executing at a user's mobile phone directs the user to take a photo of an identification document (e.g., driver's license or other form of government issued identification) or of their face. After the verification application sends the image to a backend service, the service may then dispatch a drone to the user's location and take a photograph of the user. The service may then validate the previously-imaged document or photo of the user's face against the photograph of the user and the geolocation sent with the first image. The service may then verify the new account and provision a token to the verification application to complete a secured account generation.

This document is related to enhanced tracking and reporting. An example method may comprise receiving an electronic signal associated with an officer account. The example method may comprise receiving, by a processor, historical data associated with at least one parolee account that is associated with the officer account. The example method may comprise automatically displaying a second set of user interface elements comprising a plurality of sections. The example method may comprise displaying user check-in data in a first section of the second set of user interface elements. The example method may comprise displaying user location data in a second section of the second set of user interface elements. The example method may comprise displaying user interface elements to approve or deny pending check-ins in a third section of the second set of user interface elements.

A method for establishing a trusted session between a first computing device and a computer server includes obtaining identifying information for the first computing device and a second computing device. The identifying information includes identifying information corresponding to the networks to which each of the computing devices are directly connected. Based on the identifying information it may be determined that there is sufficient correspondence between the first and second computing devices. If so, an indication is sent to the second computing device requesting confirmation that the first computing device should be authenticated to the account. An indication confirming this may then be received and, responsive thereto, the first computing device is authenticated to the account. Related computer systems and computer-readable media are also disclosed.

A method for establishing a trusted session between a first computing device and a computer server includes obtaining identifying information for the first computing device and a second computing device. The identifying information includes identifying information corresponding to the networks to which each of the computing devices are directly connected. Based on the identifying information it may be determined that there is sufficient correspondence between the first and second computing devices. If so, an indication is sent to the second computing device requesting confirmation that the first computing device should be authenticated to the account. An indication confirming this may then be received and, responsive thereto, the first computing device is authenticated to the account. Related computer systems and computer-readable media are also disclosed.

Correlating devices and clients across addresses may be provided. A first address associated with a client device may be received. When the client device is not connected to a network, first location data associated with the first address may be obtained using a passive technique. A second address and second location data associated with the second address may then be obtained using an active technique. It may then be determined that the first location data and the second location data correlate. In response to determining that the first location data and the second location data correlate, it may be determined that the client device has changed from the first address to the second address.

A method and apparatus for generation and implementation of location-based testing and verification is provided. In various implementations, location-based testing is generated and administered in response to a user requesting verification of an account with a location or other community trait. In various further implementations, location-based testing is improved by soliciting and utilizing digital representations of traits or locations to improve testing procedures. In various further implementations, machine learning and verified community feedback is employed to improve location-based testing.