Biometric Database Corroborator for Real-Time Vetting
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Solution Overview
Problem
Current biometric monitoring systems require multiple, time-consuming searches across different databases for background checks, often missing records if an individual is not flagged in all databases, and lack real-time vetting capabilities.
Innovation Solution
A biometric database corroborator that receives and compares digital biometric representations across multiple databases using a predefined match percentage threshold, allowing for user-configurable and continuous monitoring of biometric data without requiring access to proprietary formats or translations, and updates only new information for real-time vetting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple databases are searched for background checks, then the accuracy and completeness of vetting is improved, but the computational time and processing complexity increase
Solution Approach 1:
The system performs preliminary actions by establishing predefined match percentage thresholds before comparisons are made. This allows the biometric comparator to efficiently determine matches without requiring exhaustive analysis of all database records, thereby improving vetting reliability while reducing computational time.
Solution Approach 2:
The system changes parameters by using configurable match thresholds that can be adjusted based on security requirements. By transforming the binary match/no-match parameter into a configurable threshold parameter, the system achieves both high reliability through multiple database searches and efficiency through optimized comparison criteria.
2Reliability
If continuous monitoring of biometric data is implemented, then real-time security detection is improved, but the computational resources and processing time increase
Solution Approach 1:
The system applies partial action by updating only new information from databases rather than reprocessing all data. This allows real-time monitoring and detection capabilities to be maintained while preserving processing efficiency through selective data updates based on change detection.
Solution Approach 2:
The system implements continuity of useful action through continuous monitoring of biometric databases for changes. The biometric information gatherer continuously checks for updates and the comparator continuously evaluates new data against stored templates, ensuring real-time security detection without requiring complete reprocessing of all historical data.
3Loss of information
If biometric data from multiple databases is compared, then the completeness of background checks is improved, but the device complexity and data normalization requirements increase
Solution Approach 1:
The system achieves universality through the biometric comparator, which is designed to handle and compare biometric data from multiple different database formats and sources. This multi-functional comparator can process various biometric modalities (fingerprints, facial recognition, iris scans) from different databases without requiring separate comparison mechanisms, thereby reducing overall system complexity while maintaining complete background checks.
Solution Approach 2:
The biometric information gatherer serves as an intermediary that collects and normalizes data from multiple databases before presenting it to the comparator. This intermediary layer handles the complexity of data normalization and format conversion, allowing the core comparison function to remain simple while still achieving complete background checks across multiple sources.
4Speed
If a predefined match percentage threshold is used, then the speed of determination is improved, but the precision of matching may be reduced
Solution Approach 1:
The system applies dynamics by making the match threshold configurable rather than fixed. The match percentage threshold can be dynamically adjusted based on the specific security requirements and risk tolerance of different applications. This allows the system to optimize the balance between speed and precision for each use case, achieving high determination speed when thresholds are lenient and high precision when thresholds are stringent.
Data Source
AI summary
A biometric database corroborator is disclosed. In one embodiment, a biometric digital representation receiver receives a biometric digital representation representative of an individual. A biometric information gatherer collects biometric data from a first biometric database and at least a second different biometric database. A biometric comparator compares the biometric digital representation representative of the individual with the biometric data gathered from the first biometric database and at least the second different biometric database, the biometric comparator utilizing a predefined match percentage threshold to determine a match. A result provider provides a result from the biometric comparator in a tangible user output.