Multi-Unit Image Authentication via Cross-Evaluation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing multi-eye wearable cameras cannot effectively prevent all captured images from being tampered with or counterfeited, as data from multiple imaging units can still be altered simultaneously.
Innovation Solution
A processing apparatus and method that acquires and processes image data from multiple imaging units, ensuring that information from one unit is collateral with data from another, using a control unit to analyze and process the images, and transmit only authenticated data to prevent tampering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image data from multiple imaging units is processed independently, then processing simplicity is maintained, but data tampering and counterfeiting cannot be prevented
Solution Approach 1:
The patent merges the processing of image data from multiple imaging units by acquiring evaluation values from all imaging units and comparing them collectively. The processing unit acquires evaluation values from each imaging unit and compares them to detect tampering, thereby preventing data counterfeiting while maintaining a unified processing approach.
Solution Approach 2:
The patent implements feedback by comparing evaluation values from different imaging units and using this comparison result to detect tampering. The processing unit continuously monitors the consistency of evaluation values and can identify when data has been altered, providing a feedback mechanism that ensures data authenticity.
2Reliability
If all image data from multiple imaging units is processed together, then tampering prevention is achieved, but processing time increases
Solution Approach 1:
The patent segments the processing by acquiring evaluation values from each imaging unit independently first, then performing comparison processing. This segmentation allows the system to process image data from multiple imaging units in a structured manner, acquiring individual evaluation values before comparing them to detect tampering.
Solution Approach 2:
The patent performs preliminary action by acquiring evaluation values from all imaging units before performing the comparison to detect tampering. The processing unit acquires evaluation values from each imaging unit in advance, then uses these pre-acquired values for comparison, which streamlines the overall processing flow.
Data Source
AI summary
A processing apparatus is configured to process image data from an image pickup apparatus that includes a first imaging unit and a second imaging unit. The processing apparatus includes an acquisition unit configured to acquire information on first image data acquired by the first imaging unit, and a processing unit configured to process second image data acquired by the second imaging unit so that the information on the first image data is collateral with the second image data.