Managed Notification System Using Dual Match Verification
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Solution Overview
Problem
Current managed notification systems lack the ability to selectively and efficiently notify recipients based on multiple recognition matches, particularly in environments where both object and biometric recognition are required, leading to potential misidentification and unauthorized notifications.
Innovation Solution
A managed notification system that utilizes a video camera to capture images, a digital library for content comparison, and a computing device to identify primary and secondary matches, authorizing notifications only when both matches are verified, and sending alerts through pre-defined links between case groups and user groups.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple recognition matches are implemented, then notification accuracy is improved, but system complexity increases
Solution Approach 1:
The system segments the recognition process into distinct primary and secondary match components, each handled by separate processing logic. This allows the complex multi-match system to be broken down into manageable, independent modules that can be processed sequentially, reducing overall system complexity while maintaining high notification accuracy.
Solution Approach 2:
The system performs preliminary authorization testing before final notification generation. By pre-establishing authorization rules and testing match combinations against these rules in advance, the system avoids complex real-time decision-making during notification delivery, thereby reducing operational complexity while ensuring accurate notifications.
2Reliability
If authorization testing is performed for match combinations, then false alerts are reduced, but processing time increases
Solution Approach 1:
Authorization rules are established and tested in advance, creating a pre-validated framework for match combinations. This preliminary setup allows the system to quickly reference authorized combinations during operation without performing complex real-time analysis, thereby reducing processing time while maintaining false alert reduction.
Solution Approach 2:
The system uses stored representations of authorized match combinations rather than re-evaluating authorization criteria for each notification. By copying and referencing pre-validated authorization data, the system minimizes processing time while ensuring consistent false alert reduction across all notifications.
3Measurement precision
If selective notification based on multiple matches is implemented, then notification precision is improved, but device complexity increases
Solution Approach 1:
The notification system is segmented into distinct functional components: match detection, authorization verification, and selective notification delivery. Each component handles a specific aspect of the process independently, allowing high notification precision through coordinated operation while keeping individual component complexity manageable.
Solution Approach 2:
An intermediary authorization layer is introduced between match detection and notification delivery. This intermediary component translates complex multi-match criteria into simplified authorization decisions, enabling precise selective notification while reducing the complexity burden on the core notification engine.
Data Source
AI summary
A managed notification system compares image(s) and/or indicia relating to the image(s) and where there is a match selectively provides a notification of the same.