A/V Device Video Storage Duration Extension for Crime Evidence
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Solution Overview
Problem
Existing audio/video (A/V) recording and communication devices often delete video evidence of crimes due to predefined storage policies, leading to loss of critical evidence before it can be reviewed by law enforcement.
Innovation Solution
Implementing methods to automatically extend the storage duration of video data captured by A/V recording and communication devices when evidence of a crime is detected, either through user emergency calls or algorithmic analysis, allowing for longer retention and retrieval of relevant footage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If video storage policies enforce automatic deletion after a set duration, then storage space is optimized and old data is cleared, but critical crime evidence may be lost before law enforcement can review it
Solution Approach 1:
The system performs preliminary analysis of video data to identify potential crime evidence before the standard deletion time arrives. By proactively detecting criminal activities through image analysis algorithms and emergency call correlations, the system prepares to extend storage duration in advance, ensuring evidence is preserved before automatic deletion would occur.
Solution Approach 2:
The system implements a feedback mechanism where video analysis results and emergency call data continuously inform storage duration decisions. When the system detects crime evidence through algorithmic analysis or receives emergency calls, it automatically adjusts storage policies for specific video files, extending their retention beyond the standard duration to ensure law enforcement can review the evidence.
2Loss of information
If the system extends storage duration for all videos to ensure evidence preservation, then no evidence is lost, but storage resources are wasted on non-critical footage
Solution Approach 1:
The system applies different storage quality levels to different video files based on their content importance. Critical videos containing crime evidence or associated with emergency calls receive extended storage duration, while ordinary footage follows the standard deletion policy. This localized approach ensures evidence preservation without wasting storage resources on non-critical footage.
Solution Approach 2:
The system dynamically changes the storage duration parameter for individual video files based on detected crime evidence. Instead of applying a uniform storage policy, the system adjusts the retention period parameter selectively - extending it only for videos that meet specific criteria such as containing detected criminal activities or being associated with emergency calls.
3Loss of information
If the system manually reviews each video to determine evidence importance, then accurate evidence identification is achieved, but processing time and operational complexity increase significantly
Solution Approach 1:
The system performs self-service by automatically analyzing video content through image analysis algorithms to identify crime evidence without requiring manual human review. The algorithms autonomously detect criminal activities, and the system automatically adjusts storage durations based on these detections, eliminating time-consuming manual processing while maintaining evidence identification accuracy.
Solution Approach 2:
The system replaces manual mechanical review processes with automated electronic image analysis algorithms. Instead of human operators watching and evaluating each video, computer vision algorithms automatically process the footage, detect criminal activities, and trigger storage duration extensions, dramatically reducing processing time while maintaining or improving detection accuracy.
4Loss of information
If the system automatically extends storage for videos with detected crime evidence, then evidence preservation is improved, but system complexity and computational requirements increase
Solution Approach 1:
The system uses a multi-functional image analysis algorithm that performs both security monitoring and storage management decisions. The same algorithm that detects crime evidence also triggers the storage duration extension, eliminating the need for separate manual review systems or complex decision-making infrastructure. This universal approach improves evidence retention while managing system complexity.
Data Source
AI summary
A video captured by an A/V recording and communication device may be stored for a longer period than normal when it is determined that the video contains evidence of a crime. Such a determination may be made, for example, based on an emergency call placed by a user responsive to the video, or based on applying an image analysis algorithm to the video.