Display Rendering for Vision Conditions
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Solution Overview
Problem
Individuals with color blindness and macular degeneration face difficulties in processing information from computer-based charts and graphs due to their visual conditions, leading to delays in data processing in business settings.
Innovation Solution
A computer-implemented system that detects users with specific vision conditions, such as color blindness or macular degeneration, and automatically adjusts display settings on computer devices to optimize the visual output based on their conditions, using IoT sensors, biometric recognition, and feedback analysis to learn and apply personalized rendering settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If standard display rendering is used, then the display shows normal colors and images, but users with color blindness and macular degeneration experience difficulty processing information and visual strain
Solution Approach 1:
The system changes display parameters (color mappings, contrast, brightness) based on detected vision conditions. For color blindness, it transforms color schemes to use distinguishable alternatives; for macular degeneration, it adjusts contrast and brightness levels to enhance visibility without causing additional strain
Solution Approach 2:
The system automatically detects user vision conditions through sensors and biometric recognition, then self-adjusts display settings without requiring manual user configuration. The computer device serves itself by adapting the display to individual user needs
2Ease of operation
If manual adjustment of display settings is implemented, then users can customize display for their vision conditions, but this requires user knowledge and time to configure
Solution Approach 1:
The system automatically detects user vision conditions through sensors and biometric recognition, then self-adjusts display settings without requiring manual user configuration. The computer device serves itself by adapting the display to individual user needs
Solution Approach 2:
The system uses feedback from sensors and biometric data to automatically determine optimal display settings. By monitoring user responses and visual processing patterns, the system learns and adjusts settings to maximize information processing efficiency
3Productivity
If personalized display settings are applied, then information processing efficiency improves for users with vision conditions, but the system complexity increases
Solution Approach 1:
The system replaces manual configuration mechanisms with automated sensor-based detection and algorithmic setting determination. Biometric recognition and sensor data substitute for user input, while processing algorithms replace manual adjustment procedures
Solution Approach 2:
The system introduces sensors and biometric recognition technology as intermediaries between the user and the display system. These intermediaries automatically gather vision condition data and translate it into appropriate display settings without requiring direct user intervention
Data Source
AI summary
Approaches for optimized computer display rendering for user vision conditions are provided. A computer-implemented method includes: detecting, by a computer device, a user at the computer device; sending, by the computer device, data associated with the user to a server; receiving, by the computer device, settings from the server; and automatically rendering, by the computer device, a display of the computer device using the settings.


