Plenoptic System for Foveated Eye Correction
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Solution Overview
Problem
Current visual aid devices are inadequate for correcting viewing fields for severe eye conditions like macular degeneration, glaucoma, and severe astigmatism, as they cannot accurately diagnose and address specific areas of the eye, relying on physician diagnosis and lacking precise foveated rendering.
Innovation Solution
A system utilizing image capture and display devices with a plenoptic lens array to synchronize light and photography across the eye's interior, identifying characteristics and generating images for specific portions of the eye to provide targeted corrections, allowing for continuous monitoring and improved vision correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional visual aid devices are used to assist in correcting a viewing field, then some eye conditions can be addressed, but they cannot correct viewing fields for all eye conditions particularly severe cases like macular degeneration, glaucoma, and severe astigmatism
Solution Approach 1:
The patent divides the visual field correction into multiple discrete zones corresponding to different affected areas of the eye. Each zone can be independently corrected with customized optical parameters, allowing the system to address severe eye conditions by treating each region separately rather than applying a uniform correction across the entire field of view.
Solution Approach 2:
The system applies different optical corrections to different regions of the visual field based on the specific characteristics of each eye zone. Each zone receives tailored correction parameters (such as different magnification, distortion correction, or contrast enhancement) matched to the local condition of that particular area of the eye, enabling effective correction of severe conditions that require region-specific treatment.
2Device complexity
If current visual aid devices perform adjustments on the entire video image at once, then processing is simplified, but the corrections do not precisely match the specific areas of the eye that need correction
Solution Approach 1:
The video image is segmented into multiple zones that correspond to different areas of the eye. Each zone is processed independently with its own correction parameters, allowing precise matching of corrections to specific eye regions while maintaining manageable processing complexity through systematic zone-based handling.
Solution Approach 2:
Different correction operations are applied to different zones of the video image based on the specific needs of each corresponding eye area. This localized processing approach ensures that each region receives the precise correction it requires while the overall system remains organized through the zone-based framework.
3Adaptability or versatility
If picture-in-picture is used to show a redundant section of the overall image in an additional area, then some users benefit, but it does not help users whose eye damage is not in areas that can be redirected
Solution Approach 1:
The system segments the visual field into multiple zones and creates customized corrections for each zone based on the user's specific eye conditions. This allows the system to redirect images to appropriate healthy areas of the eye for each user, rather than applying a one-size-fits-all picture-in-picture approach, thereby improving effectiveness across diverse user conditions.
Solution Approach 2:
The system applies locally-adapted corrections to different zones of the visual field based on the specific characteristics of each user's eye damage. Rather than using a uniform picture-in-picture technique, each zone receives customized treatment tailored to the local eye condition, ensuring maximum effectiveness for each user's unique situation.
4Measurement precision
If visual aid devices rely on a physician's previous diagnosis obtained by dilating the pupil and viewing the entire eye at once, then comprehensive eye assessment is achieved, but the visual aid device cannot perform this diagnosis or provide continuous monitoring
Solution Approach 1:
The system divides the eye examination into multiple discrete zones that can be independently captured and analyzed. This segmentation allows the visual aid device to perform automated comprehensive eye assessment by systematically examining each zone separately and combining the results, achieving both thorough diagnosis and automation.
Solution Approach 2:
The system performs preliminary automated eye diagnosis and creates a customized correction map before the user begins using the visual aid device. This preliminary action establishes the foundation for continuous monitoring and adaptive correction throughout usage, eliminating the need for repeated physician visits while maintaining comprehensive assessment capability.
Data Source
AI summary
One embodiment provides a method, including: obtaining, utilizing at least one image capture device, at least one image of an eye of a user; identifying, from the at least one image, a plurality of characteristics of the eye, wherein at least one of the characteristics includes a position of a pupil of the eye; generating, based upon the plurality of characteristics of the eye, a plurality of images, wherein each of the plurality of images is generated for a portion of the eye; and presenting, utilizing at least one display device, the plurality of images to the eye, wherein each of the plurality of images is presented to a portion of the eye corresponding to the image generated for the given portion of the eye. Other embodiments are described herein.