System and method for account verification by aerial drone

Patent metadata

Field	Value
Publication number	US-11830285-B2
Application number	US-202318104606-A
Country	US
Kind code	B2
Filing date	Feb 1, 2023
Priority date	Sep 17, 2018
Publication date	Nov 28, 2023
Grant date	Nov 28, 2023

Abstract

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.

First claim

The invention claimed is:

1. A computer-implemented method of verifying application data comprising:
receiving application data from a remote computer system at an issuer computer system;
analyzing the application data to determine whether the application data is associated with fraudulent activity at the issuer computer system;
determining identification data and geolocation data from the application data;
passing the geolocation data to a drone control system that is remote from the issuer computer system;
causing a drone system to be dispatched to a location matching the geolocation data;
causing the drone system to capture verification data at the location, wherein a type of the verification data is identical to a type of the identification data;
receiving an indication of a match between the identification data and the verification data; and
issuing a token via the issuer computer system, wherein the token includes an encrypted identifier mapped to a personal account number.

2. The method of claim 1 , wherein the geolocation data corresponds to a location at which the verification data was captured using the remote computer system.

3. The method of claim 2 , further comprising enabling a short-range communication protocol at the remote computer system in response to causing the drone system to be dispatched to the location.

4. The method of claim 3 , wherein enabling the short-range communication protocol includes enabling a Bluetooth® Low Energy protocol and broadcasting a one-time password from the remote computer system to the drone system.

5. The method of claim 4 , further comprising identifying the remote computer system at the drone system in response to receiving the one-time password.

6. The method of claim 5 , wherein causing the drone system to capture verification data at the location includes causing the drone system to take a photo at the location.

7. The method of claim 6 , wherein the photo includes an image of one or more of an identification document and a new user and the image corresponds to the identification data.

8. The method of claim 7 , wherein receiving the indication of the match between the identification data and the verification data includes employing a facial recognition process using both the identification data and the verification data and determining that the identification data and the verification data include an image of the same person.

9. The method of claim 8 , wherein determining that the identification data and the verification data include the image of the same person further includes calculating a score that indicates a degree of similarity between a subject of the identification data and the verification data.

10. A system for verifying new user identification in a network data system comprising:
an issuer system including a first processor and a first memory hosting an issuer account generation module and a verification module, wherein the issuer account generation module and the verification module include instructions stored on the first memory for execution by the first processor for:
receiving application data from a user computer system that is remote from the issuer system;
analyzing the application data to determine whether the application data is associated with fraudulent activity;
determining identification data and geolocation data from the application data;
passing the geolocation data to a drone control system that is remote from the issuer system;
causing a drone system to be dispatched to a location matching the geolocation data;
causing the drone system to capture verification data at the location, wherein a type of the verification data is identical to a type of the identification data;
receiving an indication of a match between the identification data and the verification data; and
issuing a token, wherein the token includes an encrypted identifier mapped to a personal account number.

11. The system of claim 10 , further comprising:
a payment network system including a second processor and a second memory hosting a payment network module, wherein the payment network module includes instructions stored on the second memory for execution by the second processor for:
generating the token based on the indication of the match between the identification data and the verification data; and
causing the token to be saved at the user computer system, wherein the token includes an encrypted identifier mapped to a personal account number.

12. The system of claim 11 , wherein the geolocation data corresponds to a location at which the verification data was captured using the remote computer system.

13. The system of claim 12 , wherein the verification module includes further instructions for enabling a short-range communication protocol at the user computer system in response to causing the drone system to be dispatched to the location.

14. The system of claim 13 , wherein the instructions for enabling the short-range communication protocol include instructions for enabling a Bluetooth® Low Energy protocol and broadcasting a one-time password from the user computer system to the drone system.

15. The system of claim 14 , further comprising the drone system, wherein the drone system includes a third processor and a third memory including instructions for execution by the third processor for identifying the user computer system at the drone system in response to receiving the one-time password.

16. The system of claim 15 , wherein the instructions for causing the drone system to obtain verification data at the location include instructions for causing the drone system to take a photo at the location.

17. The system of claim 16 , wherein the photo includes an image of one or more of an identification document and a new account user and the image corresponds to the identification data from the application data.

18. The system of claim 17 , wherein the instructions for receiving the indication of the match between the application data and the verification data include instructions for employing a facial recognition process using the application data and the verification data and determining that the identification data and the verification data include an image of the same person.

19. The system of claim 18 , wherein the instructions for determining that the identification data and the verification data include the image of the same person further include calculating a score that indicates a degree of similarity between a subject of the application data and the verification data.

Assignees

• Visa Int Service Ass

Inventors

• Leddy William

Classifications

• B64C39/024

  of the remote controlled vehicle type, i.e. RPV · CPC title

• B64U10/14

  with four distinct rotor axes, e.g. quadcopters · CPC title

• G06V20/13

  Satellite images · CPC title

• H04W4/80

  Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication · CPC title

• G06V40/166 Primary

  using acquisition arrangements · CPC title