Automated teller machine (ATM) interface

• US 10,832,274 B1
• Filed: 06/22/2018
• Issued: 11/10/2020
• Est. Priority Date: 11/14/2013
• Status: Active Grant

• Current Assignee: Wells Fargo Bank NA (Wells Fargo & Company)
• Original Assignee: Wells Fargo Bank NA (Wells Fargo & Company)
• Inventors: Ellis, Stephen M., Sahni, Bipin, Hatch, David, Razzaq, Shahid
• Primary Examiner(s): Schmucker, Michael W
• Application Number:
  US16/016,038
• Time in Patent Office: 872 Days
• Field of Search: None
• CPC Class Codes: G06Q 30/0241 Advertisements
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G07F 19/20 Automatic teller machines [ATMs]
• CPC Class Codes: G07F 19/206 Software aspects at ATMs
• CPC Class Codes: G07F 9/001 Interfacing with vending machines using mobile or wearable devices

Abstract

One or more embodiments of techniques or systems for intelligent data presentation are provided herein. Data can be presented on similar devices having different characteristics in different manners. For example, data may be rendered in a first manner on a first device having one monitor, the same data may be rendered in a second manner on a second device having two displays or a different display size. Financial information, sales data, banking information, etc. may be presented in a variety of ways based on capabilities or properties of a device accessing the information or data. Similarly, renderings may be selected based on interaction capabilities or interaction options a user may have with different renderings or presentations. In other embodiments, user interaction with an automated teller machine (ATM), call center, vehicle, or other interface can be based on device properties or device capabilities.

Claims

1. A method of using a mobile device to interact with an automated teller machine, comprising:

determining, by a privacy component, a security mode for the automated teller machine,

wherein the determining of the security mode further comprises;

capturing, by an image capture component of the automated teller machine, a plurality of photo or video image frames of the area of the automated teller machine;

determining the number of people in the area, by a data engine that processes the plurality of photo or video image frames via image analysis using directed or undirected model classification approaches, and

inferring, by the data engine, a context of the plurality of photo or video image frames;

wherein the determining, by the privacy component, the security mode is based at least in part on a number representative of people in an area of the automated teller machine, wherein a high security mode is selected in response to there being a plurality of people in the area and a low security mode is selected in response to there being a single person in the area;

transmitting, by a communication component of the mobile device, one or more financial transaction requests generated via a user interaction with the mobile device to the automated teller machine; and

performing, by the automated teller machine, the one or more financial transaction requests;

selectively rendering, by a presentation component of the automated teller machine, account information of a user, wherein account information includes sensitive account information, on a display of the automated teller machine based at least in part on the user interaction and on the security mode.

2. The method of claim 1 wherein sensitive account information is hidden in the high security mode and sensitive account information is displayed in the low security mode.

3. The method of claim 1 wherein the determining of the security mode further comprises:

capturing, by a communication component of the automated teller machine, ambient noise, and

determining, by the privacy component, the number of people in the area.

4. The method of claim 3, wherein the determining the number of people is based on distinguishing voices, by the privacy component, based in part by the captured ambient noise.

5. The method of claim 1, further comprising:

mapping, by a learning component, a set of user interactions to a set of automated teller machine functions.

6. The method of claim 5 further comprising:

applying, by the learning component, as a default template, a rendering based at least in part on the mapping.

7. The method of claim 6 further comprising:

applying, by the learning component, as a modification to the default template, a rendering based at least in part on the mapping and based at least in part on data usage and a data plan.

8. A method of using a mobile device to interact with an automated teller machine, comprising:

determining, by a privacy component, a security mode for the automated teller machine,

wherein the determining of the security mode further comprises;

capturing, by an image capture component of the automated teller machine, a plurality of photo or video image frames of the area of the automated teller machine; and

determining the number of people in the area, by a data engine that processes the plurality of photo or video image frames via image analysis using directed or undirected model classification approaches,

wherein the determining, by the privacy component, the security mode is based at least in part on a number representative of people in an area of the automated teller machine, wherein a high security mode is selected in response to there being a plurality of people in the area and a low security mode is selected in response to there being a single person in the area, and

inferring, by the data engine, a context of the plurality of photo or video image frames;

transmitting, by a communication component of the mobile device, one or more financial transaction requests from the mobile device to the automated teller machine based on an interaction of a user via the mobile device;

performing, by the automated teller machine, the one or more financial transaction requests; and

selectively rendering, by a presentation component of the mobile device, account information of the user, wherein account information includes sensitive account information, on a display of the mobile device based at least in part on the user interaction and on the security mode.

9. The method of claim 8 wherein sensitive account information is hidden in the high security mode and sensitive account information is displayed in the low security mode.

10. The method of claim 8 wherein the determining of the security mode further comprises:

recording, by a communication component of the mobile device, ambient noise, and

determining, by the privacy component, the number of people in the area.

11. The method of claim 10, wherein the determining the number of people is based in part upon distinguishing voices, by the privacy component, in the ambient noise.

12. The method of claim 8, further comprising:

mapping, by a learning component, a set of user interactions to a set of automated teller machine functions.

13. The method of claim 12 further comprising:

applying, by the learning component, as a default template, renderings based at least in part on the mapping.

14. The method of claim 13 further comprising:

applying, by the learning component, as a modification to the default template, renderings based at least in part on the mapping and based at least in part on data usage and a data plan.

15. A non-transitory computer-readable storage device configured to store instructions, that when executed by a processor perform operations, comprising:

determining a security mode for an automated teller machine,

wherein the determining the security mode is based at least in part on a number of people in an area of the automated teller machine,

wherein a high security mode is selected in response to there being a plurality of people in the area and a low security mode is selected in response to there being a single person in the area,

wherein sensitive account information is hidden in the high security mode and sensitive account information is displayed in the low security mode, and

wherein the determining of the security mode further comprises processing a plurality of image frames of an area of the automated teller machine via image analysis using directed or undirected model classification approaches, and inferring a context of the plurality of photo or video image frames;

receiving, from a communication component of a mobile device, one or more financial transaction requests from the mobile device to the automated teller machine wherein the one or more transaction requests is based on an interaction of a user via the mobile device;

performing, by the automated teller machine, the one or more transaction requests; and

selectively rendering account information of the user, wherein account information includes sensitive account information, on a display of the automated teller machine based at least in part on the user interaction and on the security mode.

16. The non-transitory computer-readable storage device of claim 15, further configured to store instructions, that when executed by a processor perform operations, further comprises rendering account information of a user on a display of the mobile device based at least in part on the user interaction and on the security mode.