Captured Data Redaction With At-Capture Pattern Analysis
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Solution Overview
Problem
Existing systems face challenges in efficiently processing and analyzing captured data for evidence, requiring significant computational resources and time, especially when dealing with large volumes of data from multiple sources, and struggle with timely reporting and efficient redaction of sensitive information.
Innovation Solution
A capture system capable of analyzing data at the time of capture, generating identified data and alignment data, which are then used to reduce the computational burden on evidence management systems by providing timely reports and efficient redaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If captured data is analyzed at the evidence management system, then comprehensive analysis can be performed, but processing time and computational load increase significantly
Solution Approach 1:
The capture system performs preliminary analysis of captured data at the time of capture, identifying and extracting relevant information before the data reaches the evidence management system. This preliminary action reduces the computational burden on the evidence management system and decreases overall processing time while maintaining analysis accuracy.
Solution Approach 2:
The data processing function is segmented between the capture system and the evidence management system. The capture system handles initial data analysis and extraction, while the evidence management system focuses on higher-level processing and report generation. This segmentation distributes computational workload and reduces bottlenecks.
2Measurement precision
If captured data is analyzed at the evidence management system, then comprehensive analysis can be performed, but computational resources are consumed excessively
Solution Approach 1:
The capture system performs preliminary analysis of captured data at the time of capture, identifying and extracting relevant information before the data reaches the evidence management system. This preliminary action reduces the computational burden on the evidence management system and decreases overall processing time while maintaining analysis accuracy.
Solution Approach 2:
The capture system extracts and removes the computational task of initial data analysis from the evidence management system by performing it locally at the capture point. This extraction reduces the computational resources required at the central system while maintaining necessary analysis capabilities.
3Productivity
If traditional data processing approaches are used, then data can be processed, but timely reporting is difficult to achieve
Solution Approach 1:
The capture system performs preliminary analysis of captured data at the time of capture, identifying and extracting relevant information before the data reaches the evidence management system. This preliminary action reduces the computational burden on the evidence management system and decreases overall processing time while maintaining analysis accuracy.
Solution Approach 2:
The capture system continuously analyzes captured data in real-time at the time of capture, maintaining continuous processing without interruption. This continuous action ensures timely reporting by eliminating bottlenecks and ensuring data is ready for reporting as it is captured.
4Productivity
If captured data is analyzed at the evidence management system, then comprehensive analysis can be performed, but redaction efficiency decreases
Solution Approach 1:
The capture system performs preliminary analysis of captured data at the time of capture, identifying and extracting relevant information before the data reaches the evidence management system. This preliminary action reduces the computational burden on the evidence management system and decreases overall processing time while maintaining analysis accuracy.
Solution Approach 2:
The capture system extracts and removes the computational task of initial data analysis from the evidence management system by performing it locally at the capture point. This extraction reduces the computational resources required at the central system while maintaining necessary analysis capabilities.
Data Source
AI summary
An evidence ecosystem that includes a capture system that detects physical properties in the environment around the capture system and captures data related to the physical properties. The capture system analyzes the captured data in accordance with patterns to detect characteristics and patterns in the captured data. Upon detecting a characteristic or a pattern, the capture system records the identified data and alignment data that identifies the location of the identified data in the captured data. The capture system sends the captured data, identified data, and alignment data to an evidence management system for use in generating reports and producing redacted copies of the captured data for distribution or presentation.