Terminal

• US 9,019,066 B2
• Filed: 08/02/2007
• Issued: 04/28/2015
• Est. Priority Date: 08/02/2007
• Status: Active Grant

• Current Assignee: NCR Corporation
• Original Assignee: NCR Corporation
• Inventors: Black, Jonathan S., McNamara, Michael R.
• Primary Examiner(s): Obiniyi, Paul
• Application Number:
  US11/888,681
• Publication Number:
  US 20090033489A1
• Time in Patent Office: 2,826 Days
• Field of Search: 340/3.1, 340/286.06, 340/540, 235/379, 235/380, 235/381, 235/383, 705/16, 705/35, 705/42, 705/43
• US Class Current: 340/3.1
• CPC Class Codes: G06Q 20/40145 Biometric identity checks
• CPC Class Codes: G07F 19/20 Automatic teller machines [ATMs]
• CPC Class Codes: G07F 19/207 Surveillance aspects at ATMs

Abstract

A terminal, such as an automated teller machine, comprises: a customer identification device; a sensor for detecting presence of a customer at the terminal; and a controller coupled to the customer identification device and the sensor. The controller is programmed to (i) track the customer'"'"'s location, (ii) create a session on identification of a customer, and (iii) close the created session when a customer absence criterion is fulfilled. The functions of the customer identification device and the sensor may be performed by a single unit. The customer absence criterion may comprise a time period during which the customer is not detected at the terminal.

Claims

1. A self-service terminal comprising:

a self-service customer identification device;

a sensor including an image capture device configured to capture images of a customer present at the self-service terminal, wherein the sensor includes an array of weight sensors to detect a weight of the customer at the self-service terminal, the array of weight sensors incorporated into a mat on which the customer stands while at the self-service terminal; and

a controller coupled to the customer identification device and the sensor, and being programmed to;

identify a customer based at least in part on customer identification received from the self-service customer identification device;

create a session to conduct a self-service transaction on identification of a customer by the self-service customer identification device;

retrieve a pre-stored template associated with the customer using the customer identification information;

create a template for the customer using image data of the customer'"'"'s face captured by the sensor;

verify the identity of the customer by comparing the created template to the pre-stored template;

track the customer'"'"'s location during the session using image data of the customer'"'"'s face continuously captured by the sensor where the identity of the customer is continuously verified using the captured image data of the customer; and

close the created session when a customer absence criterion is fulfilled.

2. A self-service terminal according to claim 1, wherein the customer identification device comprises a media reader.

3. A self-service terminal according to claim 1, wherein the customer identification device and sensor are combined into an integral biometric sensor.

4. A self-service terminal according to claim 1, wherein the customer absence criterion comprises detecting, using image data, the presence of a person not identified as the verified customer.

5. A self-service terminal according to claim 1, wherein the customer absence criterion comprises a time period during which image data is used to determine the verified customer is not detected at the self-service terminal.

6. A self-service terminal according to claim 1, the customer absence criterion further comprises using image data to determine a condition where one or more people are detected closer to the self-service terminal than the verified customer.

13. A self-service terminal according to claim 1 wherein the controller executes a sensing application to process output from the sensor to provide both face finding to find a face in an image from the sensor and face recognition to compare the face in the image with a pre-processed facial template.

14. A self-service terminal according to claim 13 wherein the sensing application computes a match score indicating a likelihood the face in the image is that of the same person as the pre-processed facial template.

15. A self-service terminal according to claim 1 wherein the self-service terminal is an automated teller machine (ATM) and the self-service transaction is dispensing cash, and the self-service customer identification device is a card reader to read customer identification data from a customer'"'"'s card.

16. A self-service terminal according to claim 15 wherein the controller is programmed to initiate the capturing of image data by the sensor by providing the customer identification data from the customer'"'"'s card.

17. A self-service terminal according to claim 16 wherein the controller utilizes the customer identification data to access a pre-stored template associated with the customer.

18. A self-service terminal according to claim 1 wherein creating a template associated with the customer further comprises creating a template of the customer'"'"'s face from the image obtained by the sensor.

19. A self-service terminal according to claim 17 wherein determining the identity of the customer based at least in part on a comparison of the template to at least one pre-stored template further comprises comparing the template with the pre-stored template associated with the customer to determine if there is a match that identifies the customer.

7. A method of operating a self-service terminal, the method comprising:

creating a session to conduct a self-service transaction for a customer at the self-service terminal;

capturing image data of the customer;

sensing at least one characteristic of the customer using the captured image data of the customer and the at least one characteristic sensed as a weight of the customer at the self-service terminal using an array of weight sensors incorporated into a mat on which the customer stands while at the self-service terminal;

creating a template for the customer using the sensed characteristic or characteristics;

determining the identity of the customer based at least in part on a comparison of the created template to at least one pre-stored template, each pre-stored template associated with a respective enrolled customer;

tracking the identified customer during the session based at least in part on continuously capturing image data of the customer and re-identifying the customer; and

closing the created session in the event that a customer absence criterion is fulfilled wherein failing to re-identify the customer fulfills the customer absence criterion.

8. A computer implemented method in an assisted terminal system comprising a network of assisted terminals coupled to a supervisory terminal, where the supervisory terminal enables an operator to monitor customer activity at the assisted terminals, the method comprising:

identifying a customer using information from a self-service customer identification device at one of the assisted terminals;

creating a session for the identified customer at the assisted terminal;

entering session monitoring mode for that session, where session monitoring mode includes repeatedly sensing at least one characteristic of the identified customer using captured image data of the identified customer'"'"'s face and the at least one characteristic sensed as a weight of the customer at the assisted terminal using an array of weight sensors incorporated into a mat on which the customer stands while at the assisted terminal, creating a template for the identified customer using the sensed characteristic or characteristics to allow the assisted terminal to further identify the identified customer using the sensed characteristic or characteristics and then discriminate between the identified customer and other people who may be in the vicinity of the assisted terminal, and closing the created session in the event that a customer absence criterion is fulfilled wherein fulfilling the customer absence criterion includes determining other people are in the vicinity of the assisted terminal; and

exiting session monitoring mode in the event that the identified customer requests, via the assisted terminal, assistance from an operator of the supervisory terminal.

9. A method according to claim 8, wherein the method comprises the further step of authorizing the operator prior to allowing the operator to provide assistance to the identified customer at the assisted terminal.

10. A method according to claim 8, wherein the method comprises the further step of re-entering session monitoring mode after the operator has completed providing assistance to the identified customer.

11. A self-service terminal comprising:

a sensing device including an image capture device configured to capture images of a customer present at the self-service terminal and the image capture device includes a thermal imager and an array of weight sensors incorporated into a mat on which the customer stands while at the self-service terminal to capture a weight of the customer;

a controller coupled to the sensing device, and programmed to create a template associated with the customer using image data and weight captured by the sensing device; and

the controller being operable to create a session for conducting a self-service transaction for the customer, periodically determine the identity of the customer based at least in part on a comparison of a newly created template using newly captured image data to at least one pre-stored template, each pre-stored template associated with a respective enrolled customer; and

to close the created session when a customer absence criterion is fulfilled wherein the customer absence criterion is fulfilled when during the session the customer cannot be identified.

12. A self-service terminal according to claim 11, wherein the sensing device comprises a facial tracking and recognition device that tracks a customer'"'"'s face during a transaction and identifies the customer based on characteristics of the customer'"'"'s face.