Biometric Spectacle Lens Calculation Using Statistical Prediction

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Solution Overview

Problem

The existing methods for calculating biometric spectacle lenses require extensive and costly measurements, making high-quality lenses inaccessible to most individuals with visual defects due to the complexity and expense of the necessary equipment.

Innovation Solution

A computer-implemented method that uses standard refraction data and a statistical model to predict individual biometric parameters, allowing for the calculation and manufacturing of high-quality spectacle lenses without the need for complex and costly additional biometric data measurements.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If extensive measurements with complex equipment are used to determine biometric data, then the imaging quality and wearing comfort of spectacle lenses are improved, but the effort and costs increase significantly

Engineering Contradiction:

Improveimaging qualityVSAvoidmeasurement complexity

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent creates a virtual copy of the complex measurement process by using a statistical model that replicates the relationship between standard refraction data and biometric parameters. Instead of physically measuring biometric data with complex equipment, the system copies the essential information through mathematical modeling based on readily available refraction data, thereby achieving similar results without the measurement complexity

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The patent replaces the mechanical measurement system (complex biometric measurement equipment) with an information processing system (statistical model and computer algorithms). The physical measurement process is substituted by computational methods that calculate biometric parameters from refraction data, eliminating the need for specialized measurement devices while maintaining accuracy

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Manufacturing precision

If extensive measurements with complex equipment are used to determine biometric data, then the imaging quality and wearing comfort of spectacle lenses are improved, but the costs increase significantly

Engineering Contradiction:

Improveimaging qualityVSAvoidmanufacturing cost

Core Design Contradiction:

Manufacturing precisionVSEase of manufacture

Solution Approach 1:

The patent uses inexpensive refraction data that is already collected during routine eye examinations as a substitute for expensive biometric measurements. The refraction data, which costs little to obtain, serves as a disposable proxy for the costly biometric measurements, allowing the system to achieve high-quality lens manufacturing without the associated costs

Inventive Principle:

Principle #27Cheap short-living objects (Disposable)

Solution Approach 2:

The statistical model acts as an intermediary that bridges the gap between inexpensive refraction data and the information normally obtained only through expensive biometric measurements. This mediator translates readily available data into accurate biometric parameters, eliminating the need for costly direct measurements while maintaining manufacturing precision

Inventive Principle:

Principle #24Intermediary (Mediator)

3Ease of manufacture

If standard refraction data is used to predict biometric parameters, then the ease of manufacture and accessibility are improved, but the measurement precision may be reduced

Engineering Contradiction:

ImproveaccessibilityVSAvoidbiometric parameter accuracy

Core Design Contradiction:

Ease of manufactureVSMeasurement precision

Solution Approach 1:

The patent performs preliminary statistical analysis on large datasets to establish robust relationships between refraction data and biometric parameters before actual lens manufacturing. By pre-training the statistical model with extensive reference data, the system ensures high prediction accuracy is built into the model structure, allowing accurate biometric parameter derivation from standard refraction data without requiring additional measurements

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20240302678A1Method for calculating a spectacle lens on the basis of a big data approach and machine learning

Publication Date: 2024.09.12 RODENSTOCK GMBH

AI summary

A computer-implemented method for determining biometric data of an eye and a corresponding method for manufacturing spectacle lenses taking into account the biometric data determined. The method includes: providing individual standard data of a user, the standard data including prescription data including a distance prescription and/or a near prescription of at least one eye of a user; and calculating individual additional data including at least one individual biometric parameter of the at least one eye of the user based on the individual standard data and using a statistical model describing a relation between the standard data and the additional data, wherein the statistical model has been derived using statistical analysis of a training data set with a plurality of reference data sets, each of the reference data sets including standard data and additional data associated with the standard data.