Methods and system for distributed cameras and demographics analysis

Patent metadata

Field	Value
Publication number	US-12457218-B2
Application number	US-201816756904-A
Country	US
Kind code	B2
Filing date	Nov 2, 2018
Priority date	Nov 3, 2017
Publication date	Oct 28, 2025
Grant date	Oct 28, 2025

Abstract

Methods and system for distributed cameras and demographics analysis are disclosed. In one embodiment, the enterprise security system includes a tracking system for tracking individuals within the enterprise, surveillance cameras that capture image data including the individuals within the enterprise, a physical classifier module for determining physical characteristics of the individuals in the image data, and a security integration system for determining whether the tracked individuals match the physical characteristics.

First claim

What is claimed is:

1. An enterprise security system, comprising:
at least one processor configured to:
obtain keycard credentials of an individual from one or more card readers;
send an indication to a security integration system indicating whether the individual is granted access to a secured location based on the keycard credentials;
capture, via one or more surveillance cameras and based on sending the indication, image data of a scene including the individual;
identify, based on performing facial recognition to the image data of the scene, the individual within the scene;
obtain, by requesting from an employee resource management (ERM) system and based on identifying the individual, a demographic profile stored for the individual that indicates a height of the individual and an age of the individual;
determine a determined height and a determined age of the individual from the image data; and
provide access to the individual to a secure location based on determining that the determined height matches the height of the individual indicated in the demographic profile and that the determined age matches the age of the individual indicated in the demographic profile.

2. The enterprise security system of claim 1 , further comprising one or more surveillance cameras to capture the image data.

3. The enterprise security system of claim 1 , wherein the height is obtained from an employee database including the demographic profile and one or more additional demographic profiles of one or more employees.

4. The enterprise security system of claim 1 , wherein the at least one processor is further configured to determine a determined hair type of the individual from the image data, and wherein the at least one processor is configured to provide access to the individual to the secure location based on determining that the determined hair type matches a hair type of the individual indicated in the demographic profile.

5. The enterprise security system of claim 1 , wherein the at least one processor is further configured to determine a determined gender of the individual from the image data, and wherein the at least one processor is configured to provide access to the individual to the secure location based on determining that the determined gender matches a gender of the individual indicated in the demographic profile.

6. A method, comprising:
obtaining keycard credentials of an individual from one or more card readers;
sending an indication to a security integration system indicating whether the individual is granted access to a secured location based on the keycard credentials;
capturing, via one or more surveillance cameras and based on sending the indication, image data of a scene including the individual;
identifying, based on performing facial recognition to the image data of the scene, the individual within the scene;
obtaining, by requesting from an employee resource management (ERM) system and based on identifying the individual, a demographic profile stored for the individual that indicates a height of the individual and a gender of the individual;
determining a determined height and a determined gender of the individual from the image data; and
providing access to the individual to a secure location based on determining that the determined height matches the height of the individual indicated in the demographic profile and that the determined gender matches the gender of the individual indicated in the demographic profile.

7. The method of claim 6 , further comprising receiving the image data from one or more surveillance cameras.

8. The method of claim 6 , wherein the height is obtained from an employee database including the demographic profile and one or more additional demographic profiles of one or more employees.

9. The method of claim 6 , further comprising determining a determined hair type of the individual from the image data, and wherein providing access to the individual to the secure location is based on determining that the determined hair type matches a hair type of the individual indicated in the demographic profile.

10. The method of claim 6 , further comprising determining a determined age of the individual from the image data, and wherein providing access to the individual to the secure location is based on determining that the determined age matches an age of the individual indicated in the demographic profile.

11. A non-transitory computer-readable device having instructions thereon that, when executed by at least one computing device, causes the at least one computing device to perform operations comprising:
obtaining keycard credentials of an individual from one or more card readers;
sending an indication to a security integration system indicating whether the individual is granted access to a secured location based on the keycard credentials;
capturing, via one or more surveillance cameras and based on sending the indication, image data of a scene including the individual;
identifying, based on performing facial recognition to the image data of the scene, the individual within the scene;
obtaining, by requesting from an employee resource management (ERM) system and based on identifying the individual, a demographic profile stored for the individual that indicates a height of the individual and an age of the individual;
determining a determined height and a determined age of the individual from the image data; and
providing access to the individual to a secure location based on determining that the determined height matches the height of the individual indicated in the demographic profile and that the determined age matches the age of the individual indicated in the demographic profile.

12. The non-transitory computer-readable device of claim 11 , wherein the operations further comprise receiving the image data from one or more surveillance cameras.

13. The non-transitory computer-readable device of claim 11 , wherein the height is obtained from an employee database including the demographic profile and one or more additional demographic profiles of one or more employees.

14. The non-transitory computer-readable device of claim 11 , wherein the operations further comprise determining a determined hair type of the individual from the image data, and wherein providing access to the individual to the secure location is based on determining that the determined hair type matches a hair type of the individual indicated in the demographic profile.

15. The non-transitory computer-readable device of claim 11 , wherein the operations further comprise determining a determined gender of the individual from the image data, and wherein providing access to the individual to the secure location is based on determining that the determined gender matches a gender of the individual indicated in the demographic profile.

Assignees

• Tyco Fire & Security Gmbh

Inventors

• Ainsworth Peter Alexander
• Westmacott Ian C
• Donaghy Martin J
• Boyes Derek
• Neill Terry
• Mckenna John
• Gallagher Anne
• Paterson Mark
• Italiya Ashish

Classifications

• H04W4/023

  using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds · CPC title

• G08B13/19608

  Tracking movement of a target, e.g. by detecting an object predefined as a target, using target direction and or velocity to predict its new position · CPC title

• G06Q50/26

  Government or public services (business processes related to the transportation industry G06Q50/40) · CPC title

• G06Q10/1093

  Calendar-based scheduling for persons or groups · CPC title

• G06Q10/105

  Human resources · CPC title