Credibility Filter for Grassroots Intelligence Assessment
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Solution Overview
Problem
Current communication infrastructures for reporting terrorist or criminal activities are inadequate, as they lack credibility screening and database querying capabilities, making it difficult for civilians to effectively contribute to threat evaluation and response.
Innovation Solution
A system and method that includes a credibility filter, data warehouse, predictive query engine, and alert poller to evaluate and store intelligence data from users, allowing for the assignment of credibility values and generation of alerts based on predefined criteria, enabling efficient threat assessment and notification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If civilians report suspicious activities through current communication infrastructures (911 systems), then threat information can be transmitted to law enforcement, but the system lacks credibility screening and database querying capabilities to effectively evaluate the threat
Solution Approach 1:
The patent introduces an intermediary system (grassroots intelligence program with credibility filter and predictive query engine) between the civilian reporter and law enforcement. This intermediary automatically screens calls for credibility, queries databases for context, and prioritizes threats, resolving the contradiction by adding evaluation capability without requiring law enforcement to directly handle unfiltered civilian reports
Solution Approach 2:
The system performs preliminary actions by automatically screening calls for credibility, querying intelligence databases beforehand, and pre-prioritizing threats before law enforcement receives them. This preliminary processing adds reliability through credibility evaluation while keeping the overall system manageable through automation
2Measurement precision
If law enforcement manually evaluates each threat report from civilians, then credibility assessment can be performed, but the process becomes time-consuming and reduces responsiveness to potential threats
Solution Approach 1:
The patent replaces the manual mechanical process of law enforcement evaluating each report with an automated electronic system. The credibility filter, predictive query engine, and automated database searching substitute human analysts, maintaining evaluation accuracy through systematic algorithms while dramatically reducing the time required to process and prioritize threats
Solution Approach 2:
The system enables self-service by allowing the automated program to independently screen calls, query databases, evaluate credibility, and prioritize threats without requiring continuous human intervention. Law enforcement receives pre-processed, prioritized alerts rather than raw civilian reports, maintaining accuracy while eliminating time loss in manual evaluation
3Loss of information
If a comprehensive database of intelligence data is queried to evaluate threats, then more accurate threat assessment can be achieved, but the complexity of managing and querying the database increases
Solution Approach 1:
The predictive query engine acts as an intermediary between the comprehensive intelligence database and the threat evaluation process. It automatically searches the database for relevant information, patterns, and context, ensuring complete utilization of available intelligence data while managing complexity through automated query processing and result synthesis
Solution Approach 2:
The system performs self-service by automatically querying the intelligence database, analyzing results, and integrating findings into threat assessments without requiring manual database management. The automated program independently retrieves and processes intelligence data, reducing information loss while keeping data management complexity handled by the system itself
Data Source
AI summary
A system for gathering and assessing intelligence information comprises a credibility filter configured to assign a credibility value to intelligence information sent from a user. A data warehouse is coupled to the credibility filter and the data warehouse is configured to store intelligence information from the user. A predictive query engine is coupled to the data warehouse. The predictive query engine is configured to query the data warehouse to determine potential threat data. The predictive query engine is also configured to store the potential threat data in the data warehouse. An alert poller is also coupled to the data warehouse. The alert poller is configured to receive the potential threat data and compare the potential threat data to one or more comparison factors pre-selected by the user.


