Vehicle Video Recording with Metadata-Based Quality Control
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Solution Overview
Problem
Conventional video recording and playback systems for vehicle event data recorders (EDRs) are inefficient, as they allow only uniform recording quality and playback speed, making it time-consuming to locate specific events within recorded videos.
Innovation Solution
A method and system that utilize metadata to differentiate between important and ordinary moments in vehicle video recordings, applying weights to synchronize metadata with video footage, and recording important moments in high quality while ordinary moments are recorded in low quality. This system also allows for differential playback speeds based on metadata weights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If video is recorded in high quality to prevent controversy, then recording quality is improved, but memory capacity becomes insufficient
Solution Approach 1:
The patent applies different recording qualities to different sections of the video based on event importance. Important sections (where events occur) are recorded in high quality, while ordinary sections are recorded in low quality. This resolves the contradiction by making recording quality local rather than uniform, ensuring high quality where needed while conserving memory capacity overall.
2Quantity of substance
If video is recorded in low quality considering memory capacity, then memory capacity is sufficient, but recording quality becomes poor and controversy may arise
Solution Approach 1:
The system dynamically adjusts recording quality based on the detected importance of each video section. When an event is detected through metadata analysis, the system switches to high quality recording for that specific section, while maintaining low quality recording during ordinary periods. This ensures memory capacity sufficiency overall while guaranteeing high quality when needed.
3Measurement precision
If user checks entire recorded video to locate specific event, then event location is found, but time consumption increases
Solution Approach 1:
The system performs preliminary analysis of the video content by converting vehicle state information into metadata and identifying important sections before the user needs to review the video. This pre-processing creates a structured index that allows rapid navigation to specific events, eliminating the need for users to watch the entire video and significantly reducing time consumption while maintaining accurate event location.
4Measurement precision
If all videos from multiple channels are checked, then comprehensive event analysis is achieved, but time and effort requirements increase
Solution Approach 1:
The patent merges metadata from multiple video channels into a unified analysis framework. By combining the state information from all channels and applying consistent weighting, the system identifies important sections across all channels simultaneously. This allows comprehensive multi-channel event analysis without requiring users to manually review each channel separately, significantly reducing time and effort while maintaining comprehensive analysis capability.
Data Source
AI summary
A method of recording videos of a vehicle using metadata, a method of playing videos, and a system include obtaining a video from at least one camera built into a vehicle, obtaining information on a state of the vehicle and converting the information into metadata to be added to the video, and generating a source video for recording by adding the metadata to the video.