View source for 20240028698. SYSTEM AND METHOD FOR PERFECTING AND ACCELERATING BIOMETRIC IDENTIFICATION VIA EVOLUTIONARY BIOMETRICS VIA CONTINUAL REGISTRATION simplified abstract (KNWN TECHNOLOGIES, INC.)

=SYSTEM AND METHOD FOR PERFECTING AND ACCELERATING BIOMETRIC IDENTIFICATION VIA EVOLUTIONARY BIOMETRICS VIA CONTINUAL REGISTRATION=


==Organization Name==

[[:Category:KNWN TECHNOLOGIES, INC.|KNWN TECHNOLOGIES, INC.]]


[[Category:KNWN TECHNOLOGIES, INC.]]

==Inventor(s)==

[[:Category:RICHARD LAWRENCE Kane of BOCA RATON FL (US)|RICHARD LAWRENCE Kane of BOCA RATON FL (US)]][[Category:RICHARD LAWRENCE Kane of BOCA RATON FL (US)]]

==SYSTEM AND METHOD FOR PERFECTING AND ACCELERATING BIOMETRIC IDENTIFICATION VIA EVOLUTIONARY BIOMETRICS VIA CONTINUAL REGISTRATION - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240028698 titled 'SYSTEM AND METHOD FOR PERFECTING AND ACCELERATING BIOMETRIC IDENTIFICATION VIA EVOLUTIONARY BIOMETRICS VIA CONTINUAL REGISTRATION

==Simplified Explanation==

The patent application describes a system and method for automatically updating biometric data for a user by retaining an ongoing digital collection of images, biometric captures, and IoT captures taken over the user's life. Changes in the user's appearance due to age, health, facial hair, hair color, hair length, and other evolutionary changes are automatically captured and contribute to the learning set. The system becomes smarter and faster with each subsequent authentication.

* The system automatically captures and retains images and biometric data of a user over their lifetime.
* Changes in the user's appearance are captured and contribute to the learning set.
* The system improves its performance with each subsequent authentication.
* The oldest capture in the ongoing digital collection is automatically deleted with each new capture.

Potential applications of this technology:

* Biometric authentication systems: The technology can be used to improve the accuracy and reliability of biometric authentication systems by continuously updating the user's biometric data.
* Security systems: The system can be integrated into security systems to enhance identification and verification processes.
* Personalized services: The technology can be used to personalize services based on the user's changing biometric data, such as personalized recommendations or tailored user experiences.

Problems solved by this technology:

* Outdated biometric data: Traditional biometric systems may rely on outdated data, leading to inaccuracies in identification and verification. This technology solves this problem by continuously updating the biometric data.
* Inaccurate authentication: Changes in the user's appearance can lead to inaccurate authentication results. This technology addresses this issue by capturing and incorporating these changes into the learning set.

Benefits of this technology:

* Improved accuracy: By continuously updating the biometric data, the system can provide more accurate identification and verification results.
* Enhanced security: The technology improves the security of authentication systems by adapting to changes in the user's appearance.
* User convenience: Users do not need to manually update their biometric data, as the system automatically captures and updates it.


==Original Abstract Submitted==

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.



[[Category:G06F21/45]]
[[Category:G06N20/00]]