Electromechanical Gun Biometric Templates for Privacy-Safe Authentication

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Solution Overview

Problem

Existing biometric data management systems in guns face challenges in securely transforming biometric data while preserving similarity structure, making it difficult to authenticate users and vulnerable to data breaches.

Innovation Solution

The system transforms biometric data using a one-way function with a random projection matrix to preserve similarity structure, allowing secure authentication without storing original data, and uses a similarity threshold to match transformed data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If biometric data is stored in the gun system, then user authentication can be performed, but data security is compromised and user privacy is vulnerable to breaches

Engineering Contradiction:
Improveuser authentication capabilityVSAvoiddata security vulnerability
Core Design Contradiction:
ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The patent extracts and removes the original biometric data from the system after transforming it into biometric templates. Only the transformed templates are stored in the gun's memory, while the original sensitive biometric information is discarded, eliminating the security vulnerability of storing raw biometric data

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent introduces biometric templates as an intermediary representation between the original biometric data and the authentication process. These templates serve as a mediator that preserves authentication functionality while eliminating the security risks associated with storing original biometric data

Inventive Principle:
Principle #24Intermediary (Mediator)

2Object-affected harmful factors

If biometric data is transformed using a one-way function, then data security is enhanced, but the ability to authenticate users may be compromised

Engineering Contradiction:
Improvedata securityVSAvoiduser authentication capability
Core Design Contradiction:
Object-affected harmful factorsVSReliability

Solution Approach 1:

The patent transforms biometric data by changing its parameters through a one-way function to create biometric templates. This parameter transformation maintains the essential characteristics needed for authentication while making the data irreversible and secure, allowing both security enhancement and authentication reliability

Inventive Principle:
Principle #35Parameter changes

3Measurement precision

If original biometric data is stored for authentication, then authentication accuracy is improved, but the system becomes vulnerable to data breaches and unauthorized access

Engineering Contradiction:
Improveauthentication accuracyVSAvoidunauthorized access risk
Core Design Contradiction:
Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The patent extracts only the essential authentication features from the original biometric data and stores them as transformed templates in the gun's memory. The original biometric data is removed from storage, eliminating the unauthorized access risk while preserving authentication accuracy through the transformed templates

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentUS20250251208A1Systems and techniques for managing biometric data at an electromechanical gun
Publication Date: 2025.08.07 BIOFIRE TECHNOLOGIES INC
  • US20250251208A1 patent drawing
  • US20250251208A1 patent drawing
  • US20250251208A1 patent drawing

AI summary

The present disclosure provides systems and techniques for authenticating biometric data while protecting user privacy. Aspects of the present disclosure include collecting biometric query data at a biometric sensor of the gun, generating a set of query features from the biometric query data, each query feature of the set of query features including a first number of dimensions, generating a projection matrix, each element of the projection matrix being drawn independently from an identical distribution having zero mean and unit variance, transforming the set of query features into a transformed set of query features according to the projection matrix, retrieving a transformed set of enrollment features from memory of the gun, identifying a data match based on the transformed set of query features and the transformed set of enrollment features satisfying a similarity threshold, and unlocking the gun in response to the identifying the data match.