Eye Biometrics Estimation From Images for Tailored Spectacle Lenses
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Solution Overview
Problem
Existing methods for determining biometric data for spectacle lenses require complex and costly equipment, limiting the availability of high-quality biometric lenses to a small proportion of those with visual defects.
Innovation Solution
A method using common devices to capture images of the eye area and apply a statistical model to derive biometric parameters, eliminating the need for complex measurements by leveraging a training data set to establish a relation between image data and additional biometric data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex measurement equipment and devices are used to determine biometric data, then measurement precision is improved, but device complexity increases and costs rise
Solution Approach 1:
The patent uses standard camera images as a copy or surrogate for specialized biometric measurement equipment. Instead of requiring complex dedicated measurement devices, the system captures images with common cameras and processes them through statistical models to derive biometric parameters, thereby achieving acceptable measurement precision with significantly reduced device complexity
Solution Approach 2:
The patent replaces complex mechanical measurement systems with a combination of standard imaging devices and computational algorithms. Statistical models and machine learning approaches substitute for specialized optical and mechanical measurement equipment, transforming a hardware-intensive solution into a software-driven approach that maintains measurement accuracy while reducing device complexity
2Measurement precision
If extensive measurements with complex equipment are performed, then biometric data accuracy is improved, but loss of time increases due to measurement complexity
Solution Approach 1:
The patent performs preliminary action by pre-training statistical models using large datasets of biometric measurements and corresponding camera images. This offline training phase allows the system to learn complex relationships between image features and biometric parameters in advance, so that during actual measurement, biometric data can be rapidly derived from standard images without requiring time-consuming complex measurements
Solution Approach 2:
The system uses standard camera images as a time-efficient copy alternative to complex biometric measurements. By processing readily available images through pre-trained models, the system achieves accurate biometric parameter extraction without the time investment required for extensive specialized measurements
3Measurement precision
If complex measurement devices are used, then biometric data quality is improved, but ease of operation deteriorates due to device complexity
Solution Approach 1:
The patent applies universality by using standard camera devices that can capture images for multiple purposes, including but not limited to biometric measurement. The same camera used for general photography or documentation can also serve as a biometric measurement device when equipped with appropriate software processing, eliminating the need for specialized dedicated equipment and simplifying operation
Solution Approach 2:
The system replaces specialized biometric measurement devices with standard camera copies. These common devices are easier to operate and more widely available, and through statistical image processing, they achieve biometric data quality comparable to complex专用设备, thereby improving ease of operation while maintaining measurement precision
Data Source
AI summary
The invention relates to a computer-implemented method for determining individual biometric parameters of at least one eye and to a corresponding method for manufacturing spectacle lenses, taking into account the determined biometric data. Moreover, the invention relates to corresponding computer program products and devices. The method for determining biometric data comprises the steps of:providing image data comprising:at least one image of at least a part of an eye area of the user; and/orgeometric information about at least a part of the eye area of the user, which result directly from at least one image of at least a part of the eye area of the user;determining individual additional data including at least one individual biometric parameter of the at least one eye of the user, based on the image data provided, and using a statistical model describing a relation between the image data and the additional data.