IP Library Granted Patent US 12,457,218
Granted Patent B2
US 12,457,218 · App. 16/756,904 · Granted Oct 28, 2025

Methods and system for distributed cameras and demographics analysis

Inventors: Peter Alexander Ainsworth (Oxfordshire, GB); Ian C. Westmacott (Tewksbury, MA); Martin J. Donaghy (Antrim, GB); Derek Boyes (Armagh, GB); Terry Neill (Antrim, GB); John McKenna (Londonderry, GB); Anne Gallagher (Belfast, GB); Mark Paterson (Newtownards Down, GB); Ashish Italiya (Newtownabbey, GB)
Assignee: Tyco Fire & Security GmbH
H04L63/102G06Q10/0631G06Q10/1093G07C9/00904G07C9/257G07C9/30G07C9/37H04L63/105H04N7/181H04W4/029
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Quick Facts
Patent No.
US 12,457,218
App. No.
16/756,904
Filed
Apr 17, 2020
Granted
Oct 28, 2025
Kind
B2
Art Unit
2685
USPC
340/5.2
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.

Claims (37)

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.

Assignments (9)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 23, 2024
From: JOHNSON CONTROLS TYCO IP HOLDINGS LLP
To: TYCO FIRE & SECURITY GMBH
Reel/Frame 068494/0384 →
NUNC PRO TUNC ASSIGNMENT Recorded Feb 4, 2022
From: SENSORMATIC ELECTRONICS, LLC
To: JOHNSON CONTROLS US HOLDINGS LLC
Reel/Frame 058957/0138 →
NUNC PRO TUNC ASSIGNMENT Recorded Feb 4, 2022
From: JOHNSON CONTROLS US HOLDINGS LLC
To: JOHNSON CONTROLS, INC.
Reel/Frame 058955/0394 →
NUNC PRO TUNC ASSIGNMENT Recorded Feb 4, 2022
From: JOHNSON CONTROLS, INC.
To: JOHNSON CONTROLS TYCO IP HOLDINGS LLP
Reel/Frame 058955/0472 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 30, 2021
From: JOHNSON CONTROLS INC
To: JOHNSON CONTROLS TYCO IP HOLDINGS LLP
Reel/Frame 058600/0126 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 30, 2021
From: SENSORMATIC ELECTRONICS LLC
To: JOHNSON CONTROLS US HOLDINGS LLC
Reel/Frame 058600/0001 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 30, 2021
From: JOHNSON CONTROLS US HOLDINGS LLC
To: JOHNSON CONTROLS INC
Reel/Frame 058600/0080 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 28, 2021
From: WESTMACOTT, IAN C.
To: SENSORMATIC ELECTRONICS, LLC
Reel/Frame 055065/0822 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 7, 2021
From: AINSWORTH, PETER ALEXANDER; DONAGHY, MARTIN J.; BOYES, DEREK; NEILL, TERRY; MCKENNA, JOHN; GALLAGHER, ANNE; PATERSON, MARK; ITALIYA, ASHISH
To: SENSORMATIC ELECTRONICS, LLC
Reel/Frame 054914/0775 →
Continuity (2)
Provisional Application 62581207 · Nov 3, 2017
Related Publication 20210201610A1 · Jul 1, 2021
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