Real-Time Interrogation Conflict Detection System
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Solution Overview
Problem
Current methods for information gathering during interrogations are time-consuming due to the manual comparison and cross-referencing of data, which delays follow-up questions and affects the accuracy of recall from interviewees.
Innovation Solution
A system and method for real-time conflict identification and resolution, involving the capture, conversion, and semantic processing of audio or video streams to identify conflicts between interviewee statements, with visual or audio prompts generated to alert interviewers of discrepancies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual comparison and cross-referencing of interrogation data is performed, then information accuracy can be verified, but the process becomes time-consuming and delays follow-up questions
Solution Approach 1:
The patent replaces the manual mechanical process of comparing and cross-referencing interrogation data with an automated computer-based system. The system captures audio/video streams, converts them to text, semantically processes the data to identify key information, and automatically compares statements across multiple interviewees using computational algorithms, thereby eliminating the time-consuming manual review process while maintaining verification accuracy.
Solution Approach 2:
The patent introduces an intermediary semantic processing layer that acts as a mediator between raw interrogation data and conflict detection. This intermediary system extracts and structures key information from unstructured audio/video transcripts, creating a standardized format that enables efficient automated comparison and conflict identification across multiple interview statements.
2Quantity of substance
If multiple interrogations are conducted over several days or weeks, then comprehensive information can be gathered, but recall accuracy decreases and follow-up timing is delayed
Solution Approach 1:
The patent performs preliminary semantic processing and information extraction during or immediately after each interrogation, rather than waiting until all interrogations are complete. This preliminary action creates structured data records and identifies key information points in real-time, enabling immediate comparison and follow-up questioning while interviewee recall is still fresh and accurate.
Solution Approach 2:
The patent implements a feedback mechanism where the system continuously compares new interrogation data against previously captured statements and immediately identifies conflicts or inconsistencies. This real-time feedback allows interviewers to ask timely follow-up questions about discrepancies while the interviewee's memory is still relevant, rather than delaying analysis until all interrogations are complete.
Data Source
AI summary
A process for improved real-time conflict identification and resolution, and information corroboration, during an interrogation relative to an incident includes capturing a first real-time digital audio or video stream from a first interviewee under interrogation by a first interviewer relative to an incident. The first real-time digital audio or video stream is converted to a first digital text string, which is then semantically processed to identify and store first information relative to the incident. Stored second information created via interrogation of a second interviewee under interrogation relative to the incident is accessed, and a conflict between the stored first information and the stored second information is identified. A visual or audio prompt is generated associated with the conflict and an indication of the conflict is played back via the visual or audio prompt to the first interviewer.