IP Library Granted Patent US 11,978,253
Granted Patent B2
US 11,978,253 · App. 17/671,699 · Granted May 7, 2024

User scanning and one-way augmented reality viewing system

Inventors: Michael Anthony Dascola (Clayton, NC); Jacob Atticus Grady (Raleigh, NC); Kaitlyn Stahl (Raleigh, NC)
Assignee: Truist Bank
G06V20/20A61B5/112G06F3/013G06F21/32G06Q30/0269G06T7/207G06T7/74G06V40/171H04L63/105H04L2463/082
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Quick Facts
Patent No.
US 11,978,253
App. No.
17/671,699
Granted
May 7, 2024
Kind
B2
Abstract

An augmented reality customer interaction system includes a transparent panel having a first side and a second side that is opposite to the first side, and a camera device configured to capture visual data from an area adjacent to the second side of the transparent panel. The visual data includes identifying features of a customer located in the area with respect to the second side of the transparent panel. The system further includes a projection system configured to project information on the first side of the transparent panel. The information projected on the first side of the transparent panel may include customer interaction data retrieved from a data store based on the identifying features of the customer.

Claims (65)

1. An augmented reality viewing system, comprising:

at least one sensor configured detect entry of a customer into a location;

a set of sensors configured to collect multiple characteristics of the customer;

a tracking and monitoring system configured to:

track a position of the customer in a first area at the location;

track movements and positions of multiple available service representatives in a second area different from the first area;

determine a preferred customer service representative capable of fulfilling a specific need of the customer from the multiple available service representatives to interact with the customer based on the position of the customer and the position of the preferred service representative; and

assign the customer to the preferred service representative capable of fulfilling the specific need of the customer;

a processor configured to:

receive the collected multiple characteristics;

compare the collected multiple characteristics with the characteristics stored in a customer database; and

suggest customer interaction strategies for interacting with the customer;

a customer identification system configured to identify the customer to a threshold level of confidence based on the comparison of the collected multiple characteristics with the characteristics stored in the customer database, wherein the processor is further configured to suggest the customer interaction strategies based on an identification of the customer; and

a projection system configured to project the suggested customer interaction strategies on a first surface of a transparent panel such that the suggested customer interaction strategies are visible to the service representative located in an area adjacent to the first surface of the transparent panel and are not visible to the customer located in an area adjacent to a second surface of the transparent panel opposite the first surface.

2. The system of claim 1 , wherein the customer identification system is further configured to dynamically control one or more sensors in the set of sensors to collect the multiple characteristics of the customer.

3. The system of claim 1 , wherein the customer identification system is further configured to collect and process additional customer characteristic data as the customer moves around the location until the threshold level of confidence in identification of the customer is reached.

4. The system of claim 3 , wherein the customer identification system is further configured to determine that the threshold level of confidence is reached based on confidence in matching the additional customer characteristic data with individual weighted matching factors.

5. The system of claim 4 , wherein the individual weighted matching factors comprise one or more of fingerprints, facial recognition, and gait recognition.

6. The system of claim 1 , wherein the set of sensors comprises one or more of a movement sensor, a biometric sensor, a camera, and a microphone.

7. The system of claim 6 , wherein the multiple characteristics of the customer include one or more of:

biometric data collected from the customer via the biometric sensor;

a height measurement of the customer collected by the camera;

a gait profile of the customer collected by the camera;

ear features of the customer collected by the camera; or

a voiceprint of the customer collected by the microphone.

8. The system of claim 1 , wherein the suggested customer interaction strategies comprise one or more of:

recommendations of products or services;

user-specific personality-based customer service techniques;

identification of potential threats of violence from customers; or

identification of potential threats of fraud from customers.

9. The system of claim 1 , wherein the processor is further configured to:

determine an eye gaze location of the service representative located in the area adjacent to the first surface of the transparent panel; and

cause the projection system to display the suggested customer interaction strategies on the first surface of a transparent panel at the determined eye gaze location of the service representative.

10. The system of claim 1 , wherein the processor is further configured to cause the projection system to move the location of the suggested customer interaction strategies displayed on the first surface of the transparent panel as the customer moves, such that a relationship is maintained between a position of the customer and the suggested customer interaction strategies displayed on the first surface of a transparent panel.

11. A method, comprising;

detecting, by at least one sensor, an entry of a customer into a location;

collecting multiple characteristics of the customer with a set of sensors;

comparing, by a processor, the collected multiple characteristics to characteristics stored in a customer database;

identifying, by a customer identification system, the customer to a threshold level of confidence based on the comparison of the collected multiple characteristics with the characteristics stored in the customer database;

tracking and monitoring a position of the customer in a first area at the location;

tracking movements and positions of multiple available service representatives in a second area different from the first area;

determining a preferred customer service representative capable of fulfilling a specific need of the customer from the multiple available service representatives to interact with the customer based on the position of the customer and the position of the preferred service representative;

assigning the customer to the preferred customer service representative capable of fulfilling the specific need of the customer; and

providing, by the processor, based on an identification of the customer, suggested customer interaction strategies for interacting with the customer,

wherein the suggested strategies are projected by a projection system on a first surface of a transparent panel such that the suggested strategies are visible to the service representative located in an area adjacent to the first surface of the transparent panel and are not visible to the customer located in an area adjacent to a second surface of the transparent panel opposite the first surface.

12. The method of claim 11 , further comprising dynamically controlling, by the customer identification system, one or more sensors in the set of sensors to collect the multiple characteristics of the customer.

13. The method of claim 11 , further comprising collecting and processing, by the customer identification system, additional customer characteristic data as the customer moves around the location until the threshold level of confidence in identification of the customer is reached.

14. The method of claim 13 , further comprising determining, by the customer identification system, that the threshold level of confidence is reached based on confidence in matching the additional customer characteristic data with individual weighted matching factors.

15. The method of claim 14 , wherein the individual weighted matching factors comprise one or more of fingerprints, facial recognition, and gait recognition.

16. The method of claim 11 , wherein the multiple characteristics of the customer are collected with set of sensors comprising one or more of a movement sensor, a biometric sensor, a camera, and a microphone.

17. The method of claim 16 , wherein the multiple characteristics of the customer include one or more of:

biometric data collected from the customer via the biometric sensor;

a height measurement of the customer collected by the camera;

a gait profile of the customer collected by the camera;

ear features of the customer collected by the camera; or

a voiceprint of the customer collected by the microphone.

18. The method of claim 11 , wherein the suggested customer interaction strategies comprise one or more of:

recommendations of products or services;

user-specific personality-based customer service techniques;

identification of potential threats of violence from customers; or

identification of potential threats of fraud from customers.

19. The method of claim 11 , further comprising:

determining, by the processor, an eye gaze location of the service representative located in the area adjacent to the first surface of the transparent panel; and

causing the projection system to display the suggested customer interaction strategies on the first surface of a transparent panel at the determined eye gaze location of the service representative.

20. The method of claim 11 , further comprising cause, by the processor, the projection system to move the location of the suggested customer interaction strategies displayed on the first surface of the transparent panel as the customer moves, such that a relationship is maintained between a position of the customer and the suggested customer interaction strategies displayed on the first surface of a transparent panel.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 15, 2022
From: DASCOLA, MICHAEL ANTHONY; GRADY, JACOB ATTICUS; STAHL, KAITLYN
To: TRUIST BANK
Reel/Frame 059010/0960 →
Continuity (3)
Continuation 16915009 · Jun 29, 2020
Provisional Application 62869715 · Jul 2, 2019
Related Publication 20220172468A1 · Jun 2, 2022