IP Library Granted Patent US 11,074,432
Granted Patent B2
US 11,074,432 · App. 16/547,669 · Granted Jul 27, 2021

Systems and methods for retrieving and presenting information using augmented reality

Inventors: Jayesh Doolani (Arlington, TX); Nicholas Duane Martin (McKinney, TX); Sathish Babu Adluru Subas (Frisco, TX)
Assignee: NICE LTD.
G06K9/00275G06K7/1434G06K9/00087G06K9/00362G06K9/4638
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 11,074,432
App. No.
16/547,669
Granted
Jul 27, 2021
Kind
B2
Abstract

A system and method for recognizing a person, including: capturing an identifying feature of the person; identifying the person based on the identifying feature to return a person identity; using the person's identity, retrieving information about the person from a person information database; and displaying the retrieved information in an overlay with a facial image of the person to a user. menu items can also be displayed. The identifying feature may be a biometric or a non-biometric feature.

Claims (47)

1. A method for recognizing a person, the method comprising:

capturing an identifying feature of the person;

identifying the person based on the identifying feature to return a person identity;

using the person identity, retrieving information about the person from a person information database, wherein the retrieved information comprises work performance metrics of the person and future schedule information of the person;

offering a meeting schedule with the person based on the future schedule information; and

displaying the retrieved information in an overlay with a facial image of the person to a user.

2. The method of claim 1 , comprising displaying menu items together with the facial image of the person to a user.

3. The method of claim 2 , wherein the retrieved information and the menu items are displayed in an overlay on the facial image of the person on a screen of the mobile device.

4. The method of claim 1 , wherein the identifying feature is a biometric feature of the person captured using a mobile device, wherein the method comprises generating a feature vector descriptive of the biometric feature, wherein identifying the person based on the identifying feature comprises searching in a database associating feature vectors of persons to persons' identity for a matching feature vector.

5. The method of claim 1 , wherein the identifying feature is a facial image of the person captured using a camera of a mobile device, the method comprising generating a feature vector descriptive of the facial image, wherein identifying the person based on the identifying feature comprises searching in a database associating feature vectors of persons to persons' identity for a matching feature vector.

6. The method of claim 5 , wherein identifying the person based on the facial image comprises:

comparing the feature vector with a plurality of stored feature vectors, each of the stored feature vectors of the plurality of stored feature vectors is associated with a person; and

selecting a person with a stored feature vector that is closest to the calculated feature vector among the plurality of stored feature vectors.

7. The method of claim 1 , wherein the identifying feature is a barcode of the person captured using a camera of a mobile device.

8. The method of claim 1 , wherein the work performance metrics are contact center agent work performance metrics.

9. The method of claim 1 , wherein the future schedule information describes a meeting between an agent and a supervisor in a contact center.

10. The method of claim 1 , wherein offering a meeting schedule with the person comprises using a scheduling application to submit a session request, and upon receiving the session request, setting the meeting.

11. A system for recognizing a person, the system comprising:

a person information database;

a first processor; and

a mobile device comprising a second processor configured to:

capture an identifying feature of the person; and

send the identifying feature to the first processor;

wherein the first processor is configured to:

obtain the identifying feature;

identify the person based on the identifying feature to return a person identity;

using the person identity, retrieve information about the person from the person information database, wherein the retrieved information comprises work performance metrics of the person and future schedule information of the person;

offer a meeting schedule with the person based on the future schedule information; and

send the retrieved information to the second processor;

wherein the second processor is further configured to:

obtain the retrieved information from the first processor; and

display the retrieved information in an overlay with a facial image of the person to a user.

12. The system of claim 11 , wherein the second processor is further configured to display menu items together with the facial image of the person to a user.

13. The system of claim 12 , wherein the second processor is further configured to display the retrieved information and the menu items in an overlay on the facial image of the person on a screen of the mobile device.

14. The system of claim 11 , wherein the identifying feature is a biometric feature of the person, and wherein the first processor is configured to:

generate a feature vector descriptive of the biometric feature; and

identify the person based on the identifying feature by searching in a database associating feature vectors of persons to persons' identity for a matching feature vector.

15. The system of claim 11 , wherein the identifying feature is a facial image of the person, wherein the mobile device comprises a camera configured to capture the facial image, and wherein the first processor is further configured to:

generate a feature vector descriptive of the facial image; and

identify the person based on the identifying feature by searching in a database associating feature vectors of persons to persons' identity for a matching feature vector.

16. The system of claim 15 , wherein the first processor is configured to identify the person based on the facial image by:

comparing the feature vector with a plurality of stored feature vectors, each of the stored feature vectors of the plurality of stored feature vectors is associated with a person; and

selecting a person with a stored feature vector that is closest to the calculated feature vector among the plurality of stored feature vectors.

17. The system of claim 11 , wherein the identifying feature is a barcode of the person, wherein the mobile device comprises a camera configured to capture the barcode, wherein the person information database associates barcodes of persons to information about the persons.

18. The system of claim 11 , wherein the work performance metrics are contact center agent work performance metrics.

19. The system of claim 11 , wherein the future schedule information describes a meeting between an agent and a supervisor in a contact center.

20. The system of claim 11 , wherein offering a meeting schedule with the person comprises using a scheduling application to submit a session request, and upon receiving the session request, setting the meeting.

Assignments (2)
SECURITY INTEREST Recorded Feb 26, 2026
From: NICE LTD; NICE SYSTEMS INC.; NICE SYSTEMS TECHNOLOGIES INC.; INCONTACT, INC.
To: JPMORGAN CHASE BANK, N.A., AS ADMINISTRATIVE AGENT
Reel/Frame 074986/0208 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 10, 2021
From: DOOLANI, JAYESH; MARTIN, NICHOLAS DUANE; SUBAS, SATISH BABU ADLURU
To: NICE LTD.
Reel/Frame 056496/0406 →