Display Image Verification Using Split-Light Feedback
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Solution Overview
Problem
Current systems lack a feasible method to verify the accuracy of data presented in visual images displayed to users in critical environments like aircraft flight decks, leading to potential errors that can result in loss of life, injury, or damage.
Innovation Solution
A system comprising a processor that analyzes and interprets visual images to determine data accuracy by comparing the displayed data to processed data, using a data verification component that communicates with sensors and display components to correct or mitigate errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data verification by analyzing visual images is implemented, then data accuracy is improved, but device complexity increases
Solution Approach 1:
The system uses the display component's own sensor to capture an image of the displayed visual image and verify the data within it. This self-service approach eliminates the need for separate external verification equipment, reducing system complexity while maintaining data accuracy improvements
Solution Approach 2:
The system creates a copy of the visual image by capturing it with a sensor, then analyzes this copy to verify data accuracy. This allows verification without directly modifying or interfering with the original display system, simplifying integration while improving measurement precision
2Device complexity
If redundant verification systems are eliminated, then device complexity is reduced, but reliability may worsen
Solution Approach 1:
The display component serves multiple functions: it displays visual images to users and simultaneously acts as a sensor to capture images for data verification. This multi-functionality eliminates the need for separate redundant verification systems while maintaining reliability through integrated self-verification
Solution Approach 2:
The system implements a feedback loop where the display component captures its own output, the processor analyzes the captured image to verify data accuracy, and the system can respond by correcting errors or alerting users. This closed-loop feedback maintains reliability without requiring redundant external verification systems
Data Source
AI summary
Data presented in a visual image is monitored and verified. A processing component receives data from sensors and other sources, and interprets the data to generate processed data. A render component generates a visual image based on the processed data. A projector component projects the image, which is received by a splitter component that splits the light stream of the image and routes a portion of light energy to the display screen viewed by the user and another portion of the light energy to a data verification component (DVC). DVC interprets information presented in the image to determine the data being presented to the user by the image. DVC also receives the processed data from the processing component. DVC compares the data determined from the image to the processed data to determine whether they match and takes appropriate responsive action if they do not match.