US2022019773A1PendingUtilityA1

Systems and methods for facial recognition in a campus setting

Assignee: UNISYS CORPPriority: Oct 10, 2019Filed: Oct 1, 2021Published: Jan 20, 2022
Est. expiryOct 10, 2039(~13.2 yrs left)· nominal 20-yr term from priority
G08B 13/19608G06V 40/171G06V 10/764G06V 40/172G06F 18/2433G06F 18/22G06V 20/52H04N 7/183G06T 7/20G08B 21/02G06V 40/50G06T 2207/30168G06T 2207/30232G06T 2207/30196G06K 9/00288G06K 9/6215G06K 9/00926G06K 9/00771
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Claims

Abstract

A security system includes a camera having a field of vision. The camera sends image frames to a machine readable memory. A processor is accessible to the machine readable memory. The processor performs acts of receiving from the camera a plurality of frames; detecting an object entering the field of vision; determining whether the object is a person; tracking a moving path of the person; and performing facial recognition on the person using at least one of the plurality of frames.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A computing system, comprising
 a first machine readable memory storing a first dataset of people;   a second machine readable memory storing a second dataset of people, wherein the second dataset includes more people than the first dataset;   a processor, the processor receiving a presented image from a camera, the processor further performing following acts
 comparing the presented image with a stored image in the first dataset; 
 calculating a score according to a similarity of facial features between the presented image and the stored image. 
   
     
     
         2 . The computing system according to  claim 1 , the processor further performing the acts:
 determining whether the score is higher than a threshold, and   if the score is higher than the threshold, classifying the presented image as the same person of the stored image.   
     
     
         3 . The computing system according to  claim 1 , the processor further performing the acts:
 determining whether the score is higher than a threshold, and   if the score is lower than the threshold, comparing the presented image with a stored image in the second dataset.   
     
     
         4 . The computing system according to  claim 1 , wherein the processor receives an image that includes a plurality of persons. 
     
     
         5 . The computing system according to  claim 4 , wherein the processor performs facial recognition on the plurality of persons simultaneously. 
     
     
         6 . The computing system according to  claim 1 , wherein the first dataset includes persons also included in the second dataset. 
     
     
         7 . The computing system according to  claim 1 , wherein the first dataset include no person included in the second dataset. 
     
     
         8 . The computing system according to  claim 1 , the processor further generating a security alert.

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