Auditable Camera Data Extraction for Chain of Custody
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Solution Overview
Problem
Existing systems for collecting digital video data from wearable cameras in law enforcement settings face challenges in maintaining battery life while ensuring a reliable chain of custody and intermittent connectivity to evidence management systems.
Innovation Solution
The implementation of auditable devices, such as cameras, that store and transmit video data, including audit trail information, using a coordinator computing device to create an ad-hoc communication path with an evidence management system, allowing for sporadic data uploads and digital signatures to ensure data integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If wearable cameras continuously monitor and upload all recorded data to ensure chain of custody, then data integrity and reliability are improved, but battery consumption increases and battery life decreases
Solution Approach 1:
The system extracts and prioritizes only relevant recorded data segments associated with specific events for upload to the evidence management system, rather than uploading all recorded data continuously. This selective extraction approach maintains chain of custody reliability for important events while significantly reducing battery consumption and extending battery life.
Solution Approach 2:
The camera system operates in periodic cycles, uploading data to the evidence management system only when connectivity is available and when events have occurred, rather than maintaining continuous monitoring and upload operations. This periodic action pattern reduces power consumption while ensuring that critical data is eventually uploaded and preserved.
2Use of energy by moving object
If wearable cameras upload all recorded data continuously to preserve battery life through minimal processing, then energy consumption is reduced, but data transmission time and network resources are wasted
Solution Approach 1:
The system extracts only the specific portions of recorded data that are associated with documented events for upload, rather than transmitting all recorded data. This extraction process identifies and isolates relevant data segments, reducing transmission time and network resource usage while still maintaining complete energy efficiency by avoiding unnecessary processing of irrelevant data.
3Quantity of substance
If wearable cameras store all recorded data locally without selection, then data completeness is maintained, but device storage capacity is consumed and data retrieval becomes inefficient
Solution Approach 1:
The recorded data is segmented into event-associated segments and non-event segments. Only event-associated segments are uploaded to the evidence management system, while local storage maintains a curated collection of relevant data. This segmentation approach preserves data completeness for important events while improving retrieval efficiency by reducing the total volume of data that needs to be managed and accessed.
Solution Approach 2:
Relevant data segments associated with specific events are extracted from the complete recorded data set and uploaded to the evidence management system. This extraction process maintains data completeness for critical information while eliminating unnecessary data from local storage, thereby improving retrieval efficiency without sacrificing the completeness of important evidence.
Data Source
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AI summary
Computer-implemented methods and systems for processing recorded data for storage is provided. An auditable device, such as a digital video camera, stores a set of recorded data. The auditable device also stores auditable event entries that represent auditable events detected by the auditable device. One type of auditable event is the receipt of information from a computer-aided dispatch (CAD) system that indicates an event. The auditable device marks at least one subset of the set of recorded data based on the auditable event entries, and uploads the marked at least one subset of the set of recorded data to an evidence management system.