Automated Contact Lens Design via Eye Image Capture
Solution Overview
Problem
Current eyewear fitting technologies lack precision in determining optimal parameters for contact lenses and eyewear frames, leading to inadequate fit and functionality, particularly in conjunction with display eyewear.
Innovation Solution
The method involves capturing images of the eye with a measurement contact lens and processing them to determine the centration and angular orientation of the lens on the cornea, which are then used to calculate parameters for contact lenses and eyewear frames, including adjustments for display eyewear, using a system comprising a light source, image sensors, and machine-learning algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If automated image capture and processing is used to determine contact lens parameters, then measurement precision and manufacturing precision are improved, but device complexity and difficulty of detecting and measuring increase
Solution Approach 1:
The patent replaces manual mechanical measurement methods with automated optical imaging and digital image processing. The system uses images captured by sensors and processed through algorithms to automatically determine contact lens parameters, eliminating the need for complex manual measurement devices and procedures.
Solution Approach 2:
The patent uses digital copies (images) of the eye and contact lens to extract measurement information. Instead of direct physical measurement, the system captures images and processes them to obtain centration, angular orientation, and other parameters, simplifying the measurement process while maintaining precision.
2Measurement precision
If image processing algorithms are used to determine centration and angular orientation, then measurement precision is improved, but difficulty of detecting and measuring increases
Solution Approach 1:
The patent replaces complex manual measurement procedures with automated digital image processing algorithms. The system automatically analyzes captured images to determine contact lens centration and angular orientation, eliminating the need for skilled operators to perform difficult manual measurements.
Solution Approach 2:
The measurement system is self-activating and self-processing. Once images are captured, the algorithms automatically extract the required parameters without requiring additional manual intervention, measurement steps, or expert analysis, making the detection and measurement process simpler despite the sophistication of the algorithms.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables precise determination of contact lens and eyewear frame parameters, improving fit and functionality by accounting for individual eye anatomy and display requirements, enhancing both comfort and performance.
Implementation Method 1
a light source, image sensors
Data Source
AI summary
A method comprises: disposing a measurement contact lens upon an eye of a user; capturing at least one image of the eye and the measurement contact lens with an image sensor while the measurement contact lens is on the eye of the user and the eye is illuminated; processing the at least one image to obtain a centration of the measurement contact lens on the cornea of the eye; processing the at least one image to obtain an angular orientation of the measurement contact lens on the cornea of the eye; and determining, based on the centration and angular orientation of the measurement contact lens on the cornea of the eye, at least one parameter of a first contact lens to be worn on the eye with display eyewear or a second contact lens to be worn on the eye without the display eyewear.