Road Video Analysis Prioritization for Abnormality Data Retention
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional video analysis systems face issues where insufficient processing capability leads to the deletion of important data due to storage capacity exhaustion, as they cannot keep up with the analysis of traveling videos.
Innovation Solution
A video data collection and analysis device that determines analysis priority based on road abnormality degree using sensor and server information, allowing prioritization and analysis in descending order to prevent important data from being erased.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous analysis of traveling video is performed, then complete video data is captured, but storage capacity is exhausted and old information is deleted
Solution Approach 1:
The system performs preliminary classification of video data into important and unimportant categories using sensor-based abnormality detection before storage capacity is exhausted. This advance categorization ensures that important data identifying road abnormalities is identified and protected prior to the need for deletion, preventing loss of critical information while maintaining storage efficiency.
2Reliability
If video analysis processing is increased to capture all important data, then data completeness improves, but processing capability becomes insufficient and backlog increases
Solution Approach 1:
The video data stream is segmented into important and unimportant portions based on sensor-detected road abnormality characteristics. This segmentation allows the system to apply different processing priorities and resource allocation to different data segments, ensuring complete analysis of important abnormality-related video while reducing processing burden on normal segments, thereby resolving the conflict between completeness and processing speed.
3Quantity of substance
If old information is deleted to secure storage capacity, then storage availability is maintained, but important data may be lost
Solution Approach 1:
The system performs preliminary identification and marking of important video data containing road abnormality information before storage space becomes critical. This advance identification creates a protected status for important data, enabling the system to maintain storage availability by selectively managing unimportant data while ensuring important data preservation, thus resolving the contradiction between storage availability and data preservation.
Data Source
AI summary
A video data collection and analysis device according to the present disclosed technology includes: a sensor value input interface to acquire a sensor value for a vehicle from a sensor mounted on the vehicle; a video input interface to acquire a outside-vehicle-video obtained by imaging an outside of the vehicle; a vehicle external communicator to communicate with an external server; an abnormality degree evaluator to determine an abnormality degree of a road on which the vehicle travels from a sensor value acquired by the sensor value input interface; an analysis priority determiner to determine a priority in analyzing the outside-vehicle-video on a basis of the determined abnormality degree; and a video analyzer to analyze a road surface condition of a road appearing in the outside-vehicle-video on a basis of the priority.