Digital Evidence Inconsistency Detection System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Inconsistencies in digital evidence within incident records, such as discrepancies between witness accounts and video footage, lead to inefficiencies and inaccuracies in case management, requiring a system to detect and prioritize these inconsistencies to ensure timely resolution and maintain data integrity.
Innovation Solution
A system utilizing an electronic processor to analyze multimedia data and first responder notes, determining inconsistencies and their priority levels through an incident type mapping and machine learning model, and taking appropriate notification actions based on these priorities to notify relevant users and manage access to incident records.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual review of evidence is performed to detect inconsistencies, then measurement precision of evidence accuracy is improved, but loss of time increases
Solution Approach 1:
The patent replaces manual mechanical review processes with automated electronic processing systems. The electronic processor automatically compares incident record data against evidence data, performs consistency checks, and generates reports without human intervention, thereby maintaining measurement precision while eliminating time loss associated with manual review.
Solution Approach 2:
The system enables self-service inconsistency detection where the record management system automatically performs its own consistency validation. The electronic processor independently compares data elements, identifies inconsistencies, and notifies relevant users without requiring external manual verification, thus improving efficiency while maintaining accuracy.
2Reliability
If comprehensive inconsistency detection is implemented, then reliability of incident records is improved, but device complexity increases
Solution Approach 1:
The patent segments the inconsistency detection process into distinct modular components: data reception modules, comparison modules, inconsistency identification modules, and notification modules. Each module performs a specific function in the consistency verification process, making the overall complex system manageable through functional decomposition while maintaining high reliability through systematic checking.
3Productivity
If automated inconsistency detection is implemented, then productivity of record management is improved, but use of energy increases
Solution Approach 1:
The patent implements partial action by performing inconsistency detection selectively rather than continuously. The electronic processor activates comprehensive checking only when incidents are created or updated, and performs targeted comparisons based on incident type and evidence categories, thereby improving productivity while reducing unnecessary energy consumption from constant monitoring.
Data Source
AI summary
A system for prioritizing and resolving inconsistencies in digital evidence. The system includes a database containing a first type of data and a second type of data related to an incident record and an electronic computing device including an electronic processor. The electronic processor is configured to receive the first and second types of data from the database, determine an inconsistency between the first and second types of data, and determine an incident type from the incident record. The electronic processor is also configured to determine whether a priority of the determined inconsistency meets a threshold case impact level. When the priority of the inconsistency meets the threshold case impact level, the electronic processor is configured to take a first notification action and when the priority of the inconsistency does not meet the threshold case impact level, the electronic processor is configured to take a second notification action.