Binocular Display Eye Parameter Determination
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Solution Overview
Problem
Existing methods for determining dioptric parameters of ophthalmic lenses are cumbersome, require professional expertise, and often fail to provide long-term visual comfort due to inaccuracies in controlling eye accommodation and being conducted in controlled environments rather than real-life conditions.
Innovation Solution
A method using a binocular display device that allows users to determine their own dioptric parameters through a simple and playful process, involving image display and parameter modification to achieve optimal visual quality, which can then be used to order ophthalmic lenses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional refractive methods (autorefractor, phoropter, testing glasses) are used to determine dioptric parameters, then measurement precision is improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The patent uses a camera to capture images of the user's eye and processes these images computationally to determine dioptric parameters. This replaces complex optical instruments (autorefractor, phoropter) with a simple camera system, making the device less complex while maintaining measurement capability through image analysis algorithms
Solution Approach 2:
The patent replaces mechanical/optical measurement systems with a digital imaging and computational system. Instead of using physical testing glasses and manual refraction procedures, the system uses camera-based eye imaging combined with image processing algorithms to determine dioptric parameters, thereby reducing mechanical complexity
2Measurement precision
If traditional refractive methods are used, then measurement precision is improved, but ease of operation deteriorates due to requiring qualified personnel
Solution Approach 1:
The patent enables users to perform their own eye examination by capturing images of their own eyes with a camera and processing these images through computational algorithms. This eliminates the need for qualified eye care professionals to conduct the examination, allowing users to independently determine their dioptric parameters
Solution Approach 2:
The patent replaces the need for skilled operators with automated image processing algorithms. The computational analysis of eye images automatically determines dioptric parameters without requiring human expertise in refraction, thereby simplifying operation to the point where users can perform the examination themselves
3Measurement precision
If traditional refractive methods are conducted in controlled environments, then measurement precision is improved, but adaptability deteriorates due to inability to assess long-term visual comfort
Solution Approach 1:
The patent captures multiple images of the user's eye at different times and conditions, then processes these images to determine dioptric parameters. By collecting data across multiple sessions and comparing results, the system can identify stable measurements that reflect long-term visual comfort rather than transient conditions
Solution Approach 2:
The patent enables repeated eye examinations at different times and locations using the same camera-based method. Users can perform examinations continuously over time, allowing the system to accumulate data and determine dioptric parameters that reflect consistent visual needs across various real-life conditions, thereby improving adaptability
Data Source
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AI summary
Method for determining an eye parameter of a user of a display device, the eye parameter relating to a dioptric parameter of an ophthalmic lens to be provided to the user, the method comprising: - a display device providing step, during which a binocular display device is provided to the user, - an image display step, during which an image is displayed to the user when using the display device, - a display parameter modifying step, during which at least one parameter of the display device is modified so as to modify the virtual display distance of the perceived image, wherein the display parameter modifying step is repeated until image subjective quality of the perceived image is perceived by the user as optimal, and - an eye parameter determining step during which an eye parameter is determined based on the parameter of the display device.