Biometric Image Storage Control for Automatic Photo Deletion
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Solution Overview
Problem
Existing mobile terminals face challenges in managing storage space efficiently, as users manually delete photos and videos, which is time-consuming and laborious, and increasing storage capacity does not fundamentally solve the issue of space filling up.
Innovation Solution
Implementing biometric-based image storage control using fingerprint features to set storage time limits and paths, automatically managing image data storage and deletion based on user-specific fingerprint information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If users manually delete photos and videos to clear storage space, then storage space is released, but the process is time-consuming and laborious
Solution Approach 1:
The system performs automatic storage management by itself without requiring user intervention. The processor automatically identifies, selects, and deletes images based on preset criteria (such as capture time, location, or event type), making the storage space management process self-service oriented and eliminating the need for manual user deletion operations
Solution Approach 2:
The system performs preliminary classification and organization of images before storage space becomes critical. By automatically categorizing images into different storage paths based on capture metadata, the system prepares and manages storage structures in advance, allowing for automated deletion decisions without requiring users to manually browse and select files when space is full
2Quantity of substance
If users manually browse and delete photos one by one, then storage space is cleared, but the operation is laborious and user experience is poor
Solution Approach 1:
The system automatically manages storage space by itself, eliminating the need for users to manually browse and delete files. The processor autonomously identifies which images to delete based on preset conditions, making storage management a self-service process that improves ease of operation
Solution Approach 2:
The system segments the photo collection into different storage paths based on capture characteristics (time, location, event type). This segmentation allows the system to automatically identify and manage specific subsets of images for deletion, rather than requiring users to manually browse through the entire photo library, thereby improving operational ease
3Quantity of substance
If storage space is increased to accommodate more photos and videos, then capturing capacity is improved, but storage space is still limited and will be filled up eventually
Solution Approach 1:
The system automatically discards old or unnecessary images based on preset criteria (such as images captured long ago, or images from locations no longer in use) and recovers storage space for new captures. This continuous cycle of automatic deletion and space recovery extends the duration that storage space remains available, effectively managing limited capacity over time
Solution Approach 2:
The system performs preliminary organization of images into different storage paths based on capture metadata before storage space becomes full. This preliminary classification enables the system to proactively manage and delete images according to preset strategies, extending the effective storage duration without requiring physical hardware expansion
4Productivity
If automatic storage management is implemented based on fingerprint features, then storage efficiency is improved, but device complexity increases
Solution Approach 1:
The system uses the existing fingerprint recognition module for multiple purposes: both for security authentication and for automatic image storage management. By making the fingerprint module multi-functional, the system achieves automated storage efficiency without adding separate complex identification hardware, thereby limiting the increase in device complexity
Solution Approach 2:
The system introduces a storage control module as an intermediary between the fingerprint recognition module and the storage system. This intermediary component coordinates the complex interactions between fingerprint verification, image selection, and storage operations, managing system complexity through structured modular design rather than monolithic integration
Data Source
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AI summary
A method and device for image storage control, and a storage medium are disclosed. The method may include: collecting biometric information of a user during capturing an image; and performing storage and clearing processing on image data obtained by capturing according to storage control information corresponding to the biometric information.