Automated Eyewear Frame Design via Image Capture
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Solution Overview
Problem
Current eyewear fitting methods lack precision and efficiency in determining optimal parameters for eyewear frames and contact lenses, particularly in relation to the user's eye and head features, leading to suboptimal fit and functionality.
Innovation Solution
The method involves capturing images of the user's eye and head using an image sensor, processing these images to obtain position information, and determining parameters for eyewear frames and contact lenses based on physical landmarks, reference eyewear, or measurement contact lenses with orientation marks, to accurately position displays and adjust pixel shifts for improved fit and display alignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If automated image capture and processing is implemented to determine eyewear parameters, then measurement precision and manufacturing precision are improved, but device complexity and ease of operation worsen due to requiring specialized equipment and procedures
Solution Approach 1:
The patent introduces measurement contact lenses with orientation marks as an intermediary tool that simplifies the complex measurement process. These contact lenses serve as a bridge between the user's eye and the imaging system, providing reference markers that enable automated parameter determination without requiring complex direct eye scanning equipment
Solution Approach 2:
The system creates a digital copy or representation of the user's eye and head features through image capture and processing. This digital model allows for precise parameter determination without requiring physical measurement tools to be in direct contact with the user, simplifying the operational complexity while maintaining high precision
2Productivity
If automated image processing is used to determine eyewear parameters, then productivity is improved, but measurement precision may worsen due to challenges in accurately detecting eye features from images
Solution Approach 1:
The measurement contact lenses introduce localized high-contrast orientation marks at specific positions on the contact lens. These localized features provide clear, easily detectable reference points that enhance the precision of eye feature detection in the captured images, compensating for the inherent limitations of automated image processing
Solution Approach 2:
The system changes the optical parameters of the measurement environment by introducing contact lenses with specific orientation marks that reflect or absorb light in ways that create high-contrast features in the captured images. This parameter change makes eye feature detection more reliable and precise through automated image processing
Data Source
AI summary
A method comprises: capturing, with an image sensor, at least one image of a head of a user, wherein the at least one image includes an image of an eye of the user; processing the at least one image to obtain position information for features of the head and eye of the user; and determining, based on the position information for the features of the head and eye of the user, at least one parameter of a daily use eyewear frame.