Peer-Synced Biometric Watchlists for Current Threat Screening
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Solution Overview
Problem
Existing biometric identification systems, such as centralized biometrically-enabled watchlists (BEWLs), suffer from limitations like incompleteness, outdatedness, and inaccuracies, leading to compromised screening processes, especially in scenarios where real-time updates are not disseminated to all units.
Innovation Solution
Implementing peer-to-peer (P2P) networks for synchronization of watchlist data across mobile devices, allowing for real-time updates and ensuring all units have the latest biometric and access control data without relying on client-server networks, enabling efficient and accurate threat assessments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If centralized biometrically-enabled watchlists (BEWL) are used for biometric screening, then biometric identification can be performed, but the data becomes outdated and incomplete, leading to compromised screening effectiveness
Solution Approach 1:
The patent divides the centralized watchlist system into distributed peer devices, each maintaining local copies of biometric data. This segmentation allows multiple devices to independently perform screenings without relying on a single centralized source that may become outdated.
Solution Approach 2:
The system performs preliminary synchronization of biometric data to peer devices before screenings occur. By pre-loading data onto distributed devices, the system ensures that screenings can use current biometric information even when disconnected from central sources.
2Productivity
If centralized watchlist data is disseminated to multiple units, then screening coverage is improved, but delays in updating all units cause information to become outdated
Solution Approach 1:
The system synchronizes biometric data to peer devices in advance before screenings are needed. This preliminary action ensures that all devices have current data ready for immediate use, eliminating delays associated with real-time centralized updates.
Solution Approach 2:
The patent creates local copies of biometric watchlist data on multiple peer devices. These copies can be updated independently and distributed across the network, allowing rapid propagation of new information without sequential updates through a centralized system.
3Reliability
If peer-to-peer networks are used for data synchronization, then real-time updates are achieved, but network complexity increases
Solution Approach 1:
The peer devices perform multiple functions: they store biometric data locally, perform screenings independently, and synchronize data with other peers. This multi-functionality reduces the need for specialized centralized infrastructure, simplifying the overall network architecture while maintaining real-time data currency.
Solution Approach 2:
Each peer device autonomously maintains its local copy of biometric data and can independently perform screenings. The devices self-synchronize with other peers without requiring complex centralized coordination, reducing network management complexity while ensuring data currency.
Data Source
AI summary
Techniques for monitoring individuals, including: a peer device to obtain, from a watchlist data source, first watchlist data concerning a first set of individuals of interest, the first watchlist data including biometric characteristics for the first set of individuals of interest; obtain, by way of a biometric sensor of the peer device, first biometric data for a first individual; determine, based on comparison of the first biometric data to the biometric characteristics, a first threat level for the first individual; generate, a first access control data entry for the first individual, the first access control data entry including an indication of the first biometric data; send, to other of the peer devices by way of peer-to-peer synchronization, first access control data including the first access control data entry; send, to an access control system, the first access control data entry.


