AREA BASED EVENT DETECTION AND MULTI-FACTORIAL EVENT CHARACTERIZATION

• US 20170093657A1
• Filed: 09/25/2015
• Published: 03/30/2017
• Est. Priority Date: 09/25/2015
• Status: Active Grant

• Current Assignee: NCR Atleos Corp.
• Original Assignee: NCR Corporation (NCR Voyix Corporation)
• Inventors: Angus, Robin
• Granted Patent: US 10,389,605 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G07F 19/207 Surveillance aspects at ATMs
• CPC Class Codes: G07F 19/211 Software architecture within ATMs or in relation to the ATM network
• CPC Class Codes: H04L 43/065 related to network devices
• CPC Class Codes: H04L 43/16 Threshold monitoring
• CPC Class Codes: H04W 24/04 Arrangements for maintaining operational condition
• CPC Class Codes: H04W 24/08 Testing, supervising or monitoring using real traffic
• CPC Class Codes: H04W 4/021 Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences

Abstract

Embodiments of a system and method for an area based event detection and multi-factorial event characterization are generally described herein. A method may include identifying a cell, the cell including a plurality of endpoint devices, receiving information relevant to the cell, and comparing the received information, using a metric, to historical data corresponding to the cell. The method may include generating a cell alert when comparing the received information to the historical data identifies an outlier, and storing the cell alert and the received information.

Claims

1. A method for monitoring endpoint devices, the method comprising:

identifying a cell, the cell including a plurality of endpoint devices;

receiving information relevant to the cell;

comparing the received information, using a metric, to historical data corresponding to the cell;

generating a cell alert when comparing the received information to the historical data identifies an outlier; and

storing the cell alert and the received information.

2. The method of claim 1, further comprising transmitting the cell alert and at least part of the received information for presentation.

3. The method of claim 1, wherein the metric includes at least one of cash dispense volume, failed customer interactions, servicer service level agreement (SLA) compliance, device security status, technical issues, and service visits.

4. The method of claim 1, wherein the plurality of endpoint devices of the cell is 10 to 50 endpoint devices, and wherein the plurality of endpoint devices include Self-Service Terminals (SSTs).

5. The method of claim 1, wherein the received information includes information geographically relevant to the cell including at least one of endpoint device location identifying information, social media information, earthquake information, and weather information.

6. The method of claim 1, wherein the received information includes an endpoint device alert, the endpoint device alert corresponding to an endpoint device of the plurality of endpoint devices.

7. The method of claim 6, wherein comparing the received information to the historical data corresponding to the cell includes comparing the endpoint device alert to a network trend.

8. The method of claim 1, wherein storing the cell alert and the received information includes storing data about the endpoint device, and wherein the data about the endpoint device includes a scheduled servicing activity for the endpoint device.

9. The method of claim 8, further comprising receiving a user selection indicating a change to the scheduled servicing activity, and in response to receiving the user selection, sending an update indication to a servicer.

10. A method for monitoring endpoint devices, the method comprising:

identifying a cell, the cell including a plurality of endpoint devices;

receiving, using a network interface device, an alert for an endpoint device of the plurality of endpoint devices and information geographically relevant to the cell, wherein the geographically relevant received information includes social media information about an event within an area of the cell;

comparing, using a processor, the alert and the received information, using a metric, to historical data corresponding to the cell;

generating, using the processor, a cell alert when the comparison identifies an outlier; and

displaying the cell alert and at least part of the received information on a display coupled to the processor.

11. The method of claim 10, wherein the metric includes at least one of cash dispense volume, failed customer interactions, servicer service level agreement (SLA) compliance, device security status, technical issues, and service visits.

12. The method of claim 10, wherein the outlier includes a number of social media interactions that exceeds a threshold.

13. The method of claim 10, wherein the geographically relevant received information includes at least one of endpoint device location identifying information, social media information, earthquake information, and weather information.

14. The method of claim 10, wherein the outlier includes a value, for the endpoint device, that is outside of a predetermined range of scheduled servicing activities.

15. The method of claim 14, wherein displaying the cell alert and at least part of the received information includes displaying a scheduled servicing activity for the endpoint device.

16. The method of claim 15, further comprising receiving a user selection indicating a change to the scheduled servicing activity, and in response to receiving the user selection, sending an update indication to a servicer.

17. A system for monitoring endpoint devices, the system comprising:

one or more processors coupled to a memory device, the memory device containing instructions that, when executed by the one or more processors, cause the system to perform operations comprising;

identifying a cell, the cell including a plurality of endpoint devices;

receiving an endpoint device alert, for an endpoint device from the plurality of endpoint devices, and information relevant to the cell;

comparing the received information, using a metric, to historical data corresponding to the cell;

generating a cell alert when comparing the received information to the historical data identifies an outlier; and

storing the cell alert and at least part of the received information in a database.

18. The system of claim 17, wherein the metric includes at least one of cash dispense volume, failed customer interactions, servicer service level agreement (SLA) compliance, device security status, technical issues, and service visits.

19. The system of claim 17, wherein the plurality of endpoint devices of the cell is 10 to 50 endpoint devices, and wherein the plurality of endpoint devices include Self-Service Terminals (SSTs).

20. The system of claim 17, wherein the received information includes information geographically relevant to the cell including at least one of endpoint device location identifying information, social media information, earthquake information, and weather information.