Mobile Content Attachment Segmentation and Validation
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Solution Overview
Problem
Existing mobile device content transmission systems struggle to accurately identify and separate user-intended content from other attachments in messages, leading to storage of unwanted data and potential security issues regarding access control.
Innovation Solution
A method involving a mobile publishing engine that generates a unique identifier for content repositories, validates mobile devices, and separates attachments based on size and metadata criteria to store only user-intended content, ensuring secure and organized content sharing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If all attachments in a message are stored without differentiation, then storage is simplified, but unwanted content is stored along with user-intended content
Solution Approach 1:
The system segments attachments into different categories: user-intended attachments (captured by the mobile device camera) and system-generated attachments (logos, watermarks). This segmentation allows selective storage of only user-intended content while filtering out unwanted system-generated content, resolving the contradiction between storage simplicity and content accuracy.
Solution Approach 2:
The system extracts and identifies user-intended attachments from the mixture of all attachments by analyzing metadata such as capture device information. This extraction process separates the desired user content from unwanted system-generated content, enabling precise storage of only relevant attachments while maintaining storage automation.
2Reliability
If mobile devices are validated with strict criteria, then security is improved, but access control becomes more complex
Solution Approach 1:
The system implements self-service validation where mobile devices automatically provide identifying information (device ID, capture confirmation) and the server automatically validates this information against stored criteria. This automated self-service approach maintains strict security validation while reducing access control complexity by eliminating manual intervention requirements.
3Measurement precision
If user-intended content is identified through metadata analysis, then content identification accuracy is improved, but processing complexity increases
Solution Approach 1:
The mobile device performs preliminary action by embedding identification metadata (capture device ID, content type, capture timestamp) directly into the attachment data at the time of capture. This preliminary tagging enables the server to quickly and accurately identify user-intended content through simple metadata matching without requiring complex analysis, thus improving identification accuracy while minimizing processing complexity.
Data Source
AI summary
A computer-implemented method includes receiving a message from a mobile device over a wireless network, the message including several attachments, wherein the several attachments include one or more mobile device attachments corresponding to content captured using the mobile device, identifying the one or more mobile device attachments; and separating the one or more mobile device attachments from the plurality of attachments.