Managed Notification System for Selective Alerting
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Solution Overview
Problem
Current object recognition systems lack efficient methods for selectively notifying recipients based on recognition results, particularly in managing notifications for multiple matches involving both primary and secondary captured content.
Innovation Solution
A managed notification system that utilizes a video camera, digital library, and computing device to capture and compare primary and secondary content, identifying matches and authorizing notifications through a comparison module, with a content management module controlling the distribution of notification components to intended recipients.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If object recognition systems notify recipients for every match detected, then notification completeness is improved, but false alerts increase and operational efficiency deteriorates
Solution Approach 1:
The system changes the parameter of notification triggering from binary (match/no match) to multi-level (single match, multiple matches of same type, multiple matches of different types). By requiring multiple matches or specific combinations before notification, the system filters out false positives while maintaining operational efficiency through automated multi-criteria evaluation.
Solution Approach 2:
The system performs preliminary counting and categorization of matches before triggering notifications. By pre-processing match data to identify patterns, frequencies, and combinations, the system determines notification eligibility in advance, reducing false alerts while maintaining complete notification coverage for genuine threats.
2Reliability
If the system implements comprehensive authorization testing for all match combinations, then notification reliability is improved, but system complexity increases
Solution Approach 1:
The system segments the authorization testing process into distinct modules: match detection module, combination analysis module, authorization testing module, and notification module. Each module handles specific aspects of the complex authorization process, making the overall system more manageable and maintainable while ensuring comprehensive authorization verification for all match combinations.
3Measurement precision
If the system processes and analyzes all captured content in real-time, then recognition precision is improved, but processing time increases
Solution Approach 1:
The system extracts only the essential features and characteristics needed for recognition decisions from the full captured content. By focusing analysis on key identifying features rather than processing all image data in detail, the system achieves high recognition precision while minimizing processing time and maintaining real-time notification capability.
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.