IP Library Patent Application 17127195
Patent Application
App. No. 17/127,195

ACCESS CONTROL SYSTEM SCREEN CAPTURE FACIAL DETECTION AND RECOGNITION

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Quick Facts
Patent No.
US None
App. No.
17/127,195
Abstract

An access control system (ACS) captures a screenshot of a portion of a computer display of the ACS, the portion displaying one or more images of an area of interest of the ACS. The ACS detects a face of a person in the captured screenshot. For at least one detected face, the ACS identifies one or more candidate identities based on recognizing the at least one detected face. The ACS then displays, on the computer display, each candidate identity.

Claims (59)

1 . An access control method, comprising:

capturing, by an access control system (ACS), a screenshot of a portion of a computer display of the ACS, the portion displaying one or more images of an area of interest of the ACS;

detecting a face of a person in the captured screenshot;

for at least one detected face, identifying one or more candidate identities based on recognizing the at least one detected face; and

displaying, on the computer display, each candidate identity and the screenshot.

2 . The method of claim 1 , wherein the portion is one of a window of the display, or a user selected area of the display.

3 . The method of claim 1 , wherein detecting and identifying comprise transmitting the captured screenshot to one or more detecting and identifying computer processes and receiving the one or more candidate identities in response to the transmitting.

4 . The method of claim 1 :

wherein each candidate identity comprises a corresponding stored image of the identified person other than the image of the captured screenshot, and

displaying each candidate entity comprises displaying the corresponding stored image of the identified person.

5 . The method of claim 1 , further comprising:

receiving user input confirming or denying a displayed candidate identity as corresponding to the person.

6 . The method of claim 5 :

wherein at least one of detecting and identifying comprises machine learning based on user input; and

the method further comprises using the received user input as feedback to at least one of detecting and identifying.

7 . The method of claim 1 :

further comprising:

concurrent with the capturing and via an access credential reader corresponding to the area of interest, receiving an access credential; and

second identifying a facial image of the person associated with the access credential independent of performing facial detection and recognition; and

wherein displaying includes displaying i) the facial image of the person associated with the access credential, and ii) the captured image.

8 . An access control system (ACS), comprising:

a memory storing instructions; and

a processor in communication with the memory and configured to:

capture a screenshot of a portion of a computer display of the ACS, the portion displaying one or more images of an area of interest of the ACS;

detect a face of a person in the captured screenshot;

for at least one detected face, identifying one or more candidate identities based on recognizing the at least one detected face; and

display, on the computer display, each candidate identity and the screenshot.

9 . The system of claim 8 , wherein the portion is one of a window of the display, or a user selected area of the display.

10 . The system of claim 8 , wherein detecting and identifying comprise transmitting the captured screenshot to one or more detecting and identifying computer processes and receiving the one or more candidate identities in response to the transmitting.

11 . The system of claim 8 :

wherein each candidate identity comprises a corresponding stored image of the identified person other than the image of the captured screenshot, and

displaying each candidate entity comprises displaying the corresponding stored image of the identified person.

12 . The system of claim 8 , wherein the processor is further configured to receive user input confirming or denying a displayed candidate identity as corresponding to the person.

13 . The system of claim 12 ,

wherein at least one of detecting and identifying comprises machine learning based on user input; and

the processor is further configured to use the received user input as feedback to at least one of detecting and identifying.

14 . The system of claim 8 :

the processor is further configured to;

receive an access credential concurrent with the capturing and via an access credential reader corresponding to the area of interest; and

second identify a facial image of the person associated with the access credential independent of performing facial detection and recognition; and

wherein displaying includes displaying i) the facial image of the person associated with the access credential, and ii) the captured image.

15 . A computer-readable medium storing instructions for access control by an access control system (ACS), executable by a processor to:

capture a screenshot of a portion of a computer display of the ACS, the portion displaying one or more images of an area of interest of the ACS;

detect a face of a person in the captured screenshot;

for at least one detected face, identifying one or more candidate identities based on recognizing the at least one detected face; and

display, on the computer display, each candidate identity and the screenshot.

16 . The computer-readable medium of claim 15 , wherein detecting and identifying comprise transmitting the captured screenshot to one or more detecting and identifying computer processes and receiving the one or more candidate identities in response to the transmitting.

17 . The computer-readable medium of claim 15 :

wherein each candidate identity comprises a corresponding stored image of the identified person other than the image of the captured screenshot, and

displaying each candidate entity comprises displaying the corresponding stored image of the identified person.

18 . The computer-readable medium of claim 15 , wherein instructions are further executable by the processor to receive user input confirming or denying a displayed candidate identity as corresponding to the person.

19 . The computer-readable medium of claim 18 , wherein:

wherein at least one of detecting and identifying comprises machine learning based on user input; and

the computer-readable medium stores further instructions executable by to processor to use the received user input as feedback to at least one of detecting and identifying.

20 . The computer-readable medium of claim 15 :

further comprising:

concurrent with the capturing and via an access credential reader corresponding to the area of interest, receiving an access credential; and

second identifying a facial image of the person associated with the access credential independent of performing facial detection and recognition; and

wherein displaying includes displaying, independent of performing facial detection, i) the facial image of the person associated with the access credential, and ii) the captured image.

Assignments (5)
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: 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 →
NUNC PRO TUNC ASSIGNMENT Recorded Feb 4, 2022
From: SENSORMATIC ELECTRONICS, LLC
To: JOHNSON CONTROLS US HOLDINGS LLC
Reel/Frame 058957/0138 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 25, 2021
From: RICHARD, BRIAN; STOUT, SCOTT
To: SENSORMATIC ELECTRONICS, LLC
Reel/Frame 055713/0560 →