Situation-Aware Vision Deficiency Remediation via Dynamic Image Processing
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Solution Overview
Problem
Individuals with color vision deficiencies face challenges in distinguishing colors, which can be hazardous, especially in daily activities like driving, due to limited assistance from existing technologies that fail to account for situational aspects and provide unsatisfactory correction for contrast and brightness impairments.
Innovation Solution
A computer-implemented method using situation-aware and image processing technologies on wearable devices to overlay appropriate colors or textures on objects, personalized to the user's vision deficiency, to enhance perception, leveraging cloud computing for dynamic assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If color correction lenses or filters are used, then color distinction ability is improved, but device complexity and limitations in correcting contrast and brightness impairments persist
Solution Approach 1:
The patent replaces physical color correction lenses with a software-based image processing system that runs on mobile devices. The system captures images through the device camera, processes them using color space transformation algorithms (converting between sRGB, AdobeRGB, and ProPhotoRGB color spaces), and displays the corrected images on the screen. This substitution eliminates the need for complex optical correction mechanisms while providing flexible, programmable color and contrast adjustment capabilities.
Solution Approach 2:
The system dynamically adjusts multiple image parameters including color balance, contrast, brightness, and saturation based on the user's specific vision deficiency profile. By changing these parameters through software processing rather than fixed optical filters, the system can adapt to different viewing conditions and individual needs, overcoming the limitations of static correction lenses.
2Measurement precision
If existing vision assistance technologies are used, then some color perception is improved, but situational awareness and dynamic adaptation to hazardous conditions are not provided
Solution Approach 1:
The system continuously monitors the user's viewing conditions, device orientation, and environmental context to dynamically adjust color correction parameters. The mobile device uses its sensors to detect situational information and provides real-time feedback by adjusting the image processing parameters accordingly, enabling adaptive correction that responds to changing visual conditions and potential hazards.
Solution Approach 2:
The patent implements dynamic color correction that adapts to changing viewing conditions, device orientation, and environmental factors. Rather than using fixed correction parameters, the system continuously adjusts color space transformations and image processing parameters based on real-time conditions, providing versatile situational awareness and adaptation to hazardous conditions.
3Measurement precision
If comprehensive color correction is implemented, then vision deficiency remediation is improved, but processing requirements and energy consumption increase
Solution Approach 1:
The system implements selective color correction by identifying and prioritizing correction for the most critical vision deficiency parameters based on the user's specific needs. Rather than applying maximum processing to all image data continuously, the system adjusts correction intensity and processing frequency based on the severity of the deficiency and current viewing conditions, reducing unnecessary energy consumption while maintaining effective remediation.
Data Source
AI summary
Embodiments include methods, systems, and computer program products for remediating a vision deficiency. Aspects include receiving a user device signal indicating a vision deficiency hazard on a roadway and a user device location. Aspects also include sending a user warning signal to the user device.