Cognitive Vision Deficiency Remediation via Dynamic Image Overlay
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Color vision deficiencies, such as color blindness, impair individuals' ability to distinguish colors, leading to difficulties in daily life and potential hazards, with existing solutions providing limited and unsatisfactory correction for contrast and brightness impairments.
Innovation Solution
A computer-implemented method using image processing and wearable devices to generate personalized image overlays based on user profiles and object types, dynamically assisting individuals with color vision deficiencies by overlaying perceivable colors or textures on objects that are difficult to perceive.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional color correction lenses or filters are used, then color perception is improved, but contrast and brightness impairments remain uncorrected
Solution Approach 1:
The patent segments the vision correction function into multiple specialized components: color correction filters, contrast enhancement algorithms, and brightness adjustment processing. Each component addresses a specific aspect of vision deficiency independently, allowing optimized correction for each parameter without compromise.
Solution Approach 2:
The system uses composite correction mechanisms combining optical filters with digital image processing algorithms. The layered approach integrates physical color correction materials with computational contrast and brightness enhancement, creating a multi-functional correction system.
2Loss of information
If static color correction is applied, then color distinction is improved, but adaptability to different situations is reduced
Solution Approach 1:
The patent implements dynamic correction that automatically adjusts color, contrast, and brightness parameters based on real-time environmental conditions, object importance, and user context. The system continuously adapts to changing situations such as different lighting conditions, locations, and user activities rather than applying fixed correction.
Solution Approach 2:
The system incorporates feedback mechanisms that monitor user interactions, environmental conditions, and correction effectiveness to continuously optimize the correction parameters. User preferences and behavioral patterns are fed back into the algorithm to personalize and adapt the correction to individual needs and situational contexts.
3Device complexity
If simple color filtering is used, then device complexity is reduced, but correction effectiveness is limited
Solution Approach 1:
The patent introduces a software-based image processing intermediary layer between the camera and the user interface. This software intermediary performs complex multi-parameter correction (color, contrast, brightness) without requiring complex hardware modifications, achieving high correction effectiveness through computational processing.
Solution Approach 2:
The system replaces complex mechanical or optical correction mechanisms with software-based image processing algorithms. Instead of using multiple physical filters or adjustable optical components, the patent uses digital signal processing to achieve comprehensive vision correction, reducing device complexity while maintaining or improving effectiveness.
Data Source
AI summary
Embodiments include methods, systems, and computer program products for remediating a color vision deficiency. Aspects include receiving a user profile. Aspects also include identifying an object type for each of the plurality of objects. Aspects also include generating an image overlay for the location based at least in part upon the user profile and the object type.