System and method for perfecting and accelerating biometric identification via evolutionary biometrics via continual registration

Abstract

A system and method for automatically updating biometric data for a user by preferably retaining an ongoing digital collection of images/biometric captures/IOT (“Internet of Things”) captures taken over the life of the user. Changes in appearance of the user due to age, health, facial hair, hair color, hair length and many other evolutionary changes are automatically captured and contribute to the learning set. Accordingly, the system itself gets smarter and faster with every subsequent authentication. In one non-limiting embodiment, a target of the most recent 500 captures are retained, and tuning may suggest a greater number of captures should or could be used. Preferably, with each new capture the oldest capture in the ongoing digital collection is automatically deleted by the system.

What is claimed is: 
     
         1 . A software-based method for evolving a biometric signature for an individual with each subsequent validation for use in identifying or authenticating the individual for a transaction or other activity in order to decrease the processing time required for identifying or authenticating the individual and to improve the accuracy of the identification or authentication, comprising the steps of:
 (a) electronically receiving or capturing current biometric data for an individual after a successful biometric match for the individual by an electronic system, wherein the current biometric data includes at least one current digital image of the individual;   (b) adding the current biometric data to a stack of previously stored biometric data for the individual to create an updated stack of biometric data for the individual;   (c) storing the updated stack to an electronic storage device; and   (d) where a number of digital images of the individual previously stored in the stack has reached a previously determined or programmed maximum number of digital images, electronically deleting an oldest stored digital image from the stack so that the updated stack does not exceed the maximum number of digital images with the addition of the current biometric data in step (b).   
     
     
         2 . The software-based method of  claim 1  wherein the stack of previously stored biometric data and the updated stack of biometric data also includes Internet of Things data. 
     
     
         3 . The software-based method of  claim 1  further comprising the step of electronically receiving Internet of Things data by the electronic system. 
     
     
         4 . The software-based method of  claim 3  wherein step (a) comprises receiving a continual stream of biometric data and Internet of Things data by the electronic system. 
     
     
         5 . The software-based method of  claim 4  wherein the Internet of Things data is electronically sent one at a time in bursts of web service hits. 
     
     
         6 . The software-based method of  claim 5  wherein the current biometric data captured by the electronic system is electronically sent to the electronic system in slices. 
     
     
         7 . The software-based method of  claim 6  wherein in parallel the electronic system captures and correlates the Internet of Things data and current biometric data for an identify match of the individual. 
     
     
         8 . The software-based method of  claim 1  further comprising the step of electronically sending the current biometric data to the electronic system via a REST API. 
     
     
         9 . The software-based method of  claim 1  wherein the current biometric data is read by a set of parallel servers for curating data sets. 
     
     
         10 . The software-based method of  claim 9  further comprising the step of electronically feeding the curated data sets to an artificial intelligence component of the electronic system for continual learning by the electronic system. 
     
     
         11 . The software-based method of  claim 1  further comprising the step of feeding the updated stack to an artificial intelligence component of the electronic system for continual learning by the electronic system in connection with current biometrics for the individual. 
     
     
         12 . The software-based method of  claim 1  wherein the maximum number is 500 digital images. 
     
     
         13 . The software-based method of  claim 4  further comprising the step of using the Internet of Things data to prefetched the previously stored biometric data for the individual. 
     
     
         14 . A software-based method for evolving a biometric signature for an individual with each subsequent validation for use in identifying or authenticating the individual for a transaction or other activity in order to decrease the processing time required for identifying or authenticating the individual and to improve the accuracy of the identification or authentication, comprising the steps of:
 (a) electronically receiving or capturing current biometric data for an individual after a successful biometric match for the individual by an electronic system, wherein the current biometric data includes at least one current digital image of the individual;   (b) electronically receiving Internet of Things data by the electronic system for the individual;   (c) adding the current biometric data and Internet of Things data to a stack of previously stored digital data for the individual to create an updated stack of digital data for the individual;   (d) storing the updated stack of digital data to an electronic storage device; and   (e) where a number of digital images of the individual previously stored in the stack has reached a previously determined or programmed maximum number of digital images, electronically deleting an oldest stored digital image from the stack so that the updated stack does not exceed the maximum number of digital images with the addition of images from the current biometric data in step (c).   
     
     
         15 . The software-based method of  claim 14  wherein the Internet of Things data is electronically sent one at a time in bursts of web service hits. 
     
     
         16 . The software-based method of  claim 15  wherein the current biometric data captured by the electronic system is electronically sent to the electronic system in slices. 
     
     
         17 . The software-based method of  claim 16  wherein in parallel the electronic system captures and correlates the Internet of Things data and current biometric data for an identify match of the individual. 
     
     
         18 . The software-based method of  claim 14  further comprising the step of electronically sending the current biometric data to the electronic system via a REST API and read by a set of parallel servers for curating data sets. 
     
     
         19 . The software-based method of  claim 14  further comprising the step of electronically feeding curated data sets to an artificial intelligence component of the electronic system for continual learning by the electronic system. 
     
     
         20 . The software-based method of  claim 14  further comprising the step of feeding the updated stack to an artificial intelligence component of the electronic system for continual learning by the electronic system in connection with current biometrics for the individual.