Image Storage Method for Security Checkpoints
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Solution Overview
Problem
High-definition security checkpoint systems face significant storage challenges due to the need to preserve large numbers of images over long periods, leading to insufficient storage space and increased costs, while existing compression methods compromise critical information quality.
Innovation Solution
An image storage method that gradually reduces redundant information by identifying regions of interest and storing only those areas, with different durations for image retention, allowing for efficient use of storage space while maintaining critical information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If image compression is applied to reduce storage space, then storage capacity is improved, but image quality and critical information retention deteriorate
Solution Approach 1:
The image storage method segments the image data by identifying and separating regions of interest (such as vehicles, pedestrians, license plates) from the rest of the image. Only these critical regions are stored in high definition, while other areas are stored at lower resolution or omitted entirely. This segmentation approach reduces overall storage requirements while preserving essential information for criminal investigation.
Solution Approach 2:
The patent applies local quality by maintaining high image quality specifically in regions of interest while allowing lower quality in non-critical areas. The system dynamically adjusts image quality based on the importance of different image regions, ensuring that critical information remains clear and recognizable while reducing storage demands through selective quality preservation.
2Duration of action of stationary object
If high-definition images are stored for long periods, then information retention is improved, but storage space consumption increases
Solution Approach 1:
The patent implements dynamic image storage management where the storage quality and retention period vary based on the importance of the image content. High-definition images of critical events are retained for longer periods, while less important images are stored at lower resolutions or for shorter durations. The system dynamically adjusts storage parameters based on real-time analysis of image content and predefined importance criteria.
Solution Approach 2:
The system changes storage parameters (resolution, compression ratio, retention period) based on the identified importance of image regions. By analyzing image content and determining regions of interest, the patent dynamically adjusts storage parameters to optimize both retention period and storage space utilization, ensuring critical information is preserved while managing storage resources efficiently.
3Productivity
If image resolution is reduced to save storage space, then storage efficiency is improved, but recognizability of critical information deteriorates
Solution Approach 1:
The patent applies preliminary action by performing image analysis and region of interest identification before the actual storage process. The system pre-processes images to detect and mark critical regions (such as vehicles, pedestrians, license plates) before storage, ensuring that these regions are preserved at appropriate quality levels. This preliminary identification step enables subsequent selective storage that maintains information recognizability while improving storage efficiency.
Data Source
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AI summary
The present invention relates to the field of data storage, and discloses an image storage method and apparatus thereof. In the present invention, the method comprises the following steps: judging if a storage time of a current image reaches a predetermined duration; if the judgment result is yes, then determining a target region containing at least one region of interest in the current image according to the predetermined duration; generating a target region image containing the target region according to the target region, wherein the data size of the target region image is smaller than the data size of the current image; storing the target region image; deleting the current image. With the growth of storage time, redundant information in the image is gradually removed by setting different durations, so that the storage space occupied by the image can be reduced while the information of a region of interest required in various practical applications can be retained, which achieves the purpose of storing critical information in the limited storage space as long as possible.