Smart Glasses Color Vision Correction via Dynamic Liquid Crystal Adjustment
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Solution Overview
Problem
Current color vision deficiency correction methods are limited in their ability to dynamically adjust colors based on environmental conditions, often filter important information, and do not effectively account for human eye characteristics and object movement, leading to poor imaging effects and limited applicability.
Innovation Solution
A method and device that adjust image colors based on environmental color temperature, using a neural network for inverse tone mapping and optical flow to adjust pixel levels, and generate a target image by comparing RGB values with a standard colorimetric card, allowing for dynamic color adjustment in smart glasses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sunglasses are used to correct color vision deficiency, then color discrimination capability is enhanced, but important information is filtered out and comfort is reduced
Solution Approach 1:
The patent uses liquid crystal materials that change optical properties (transmission, absorption) in response to applied voltages, dynamically adjusting color parameters rather than using fixed-color filters. This allows enhancement of color discrimination while maintaining access to important information across different wavelengths.
Solution Approach 2:
The correction device dynamically adjusts color parameters in real-time based on environmental lighting conditions and user needs, rather than using static filters. The liquid crystal elements can be controlled to provide different color enhancement profiles for different scenarios.
2Measurement precision
If environmental color temperature adjustment is applied, then color recognition is enhanced, but device complexity increases
Solution Approach 1:
The patent adjusts the transmission characteristics of liquid crystal elements based on detected environmental color temperature, dynamically changing optical parameters to compensate for lighting conditions and enhance color recognition accuracy.
Solution Approach 2:
The system includes sensors that detect environmental lighting conditions and feed this information back to the control unit, which then adjusts the liquid crystal element parameters accordingly to maintain accurate color representation.
3Manufacturing precision
If pixel level adjustment is performed on every frame, then imaging quality is improved, but processing time increases
Solution Approach 1:
The patent performs pixel level adjustments at specific intervals or on key frames rather than continuously on every frame, reducing processing time while maintaining acceptable imaging quality through periodic optimization.
Data Source
AI summary
The present invention relates to a device, method, and smart glasses for color vision deficiency correction. The method includes: adjusting a color of an image according to an environmental color temperature to obtain an adjusted image, and then adjusting a pixel level of the adjusted image to a preset pixel level according to image content, to obtain a to-be-processed image; determining an adjustment matrix based on an RGB value of the to-be-processed image and a preset RGB target value; comparing a color displayed on a display with a color of a standard colorimetric card for correction, to determine an adjustment mapping table; and generating a target image based on the to-be-processed image, the adjustment matrix, and the adjustment mapping table. The present invention increases the degree of color recognition and improves imaging effects, and can implement good color vision deficiency correction.