Lens Fitting Parameter Determination Using Measurement Clip
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Solution Overview
Problem
Current methods for determining lens fitting parameters, such as pupillary distance (PD) and fitting height (FH), are often complex, require specialized hardware and software, and can be inaccessible to many users, leading to inefficiencies and inaccuracies in vision correction devices.
Innovation Solution
A computer-implemented method that retrieves PD and FH data from a provisioning entity and a database of historical data to determine customized lens fitting parameters, using data-driven methodologies with minimal user input and low software and hardware requirements, allowing for accurate and accessible production of customized visual defect correction devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If computer vision-based measurement methods are used to determine lens fitting parameters, then measurement automation is improved, but hardware and software requirements increase significantly
Solution Approach 1:
The patent introduces a measurement clip with optical markers as an intermediary object that mediates between the patient's face and the camera system. This clip serves as a standardized reference that simplifies the computer vision processing by providing known geometric patterns for scale calibration and feature detection, thereby reducing the complexity requirements of the overall system while maintaining automation.
Solution Approach 2:
The measurement clip creates a standardized visual copy or representation of measurement references that can be processed by computer vision algorithms. By capturing images of this clip with known marker positions and patterns, the system obtains a reproducible reference model that simplifies automated measurement calculations without requiring complex direct facial feature analysis.
2Speed
If computer vision-based face tracking is used to determine lens fitting parameters, then measurement speed is improved, but measurement precision deteriorates due to instability
Solution Approach 1:
The measurement clip acts as a stable intermediary reference object that remains fixed relative to the frame during measurement. This clip provides consistent optical markers that serve as reliable reference points for scale and position calculations, eliminating the instability issues associated with tracking moving facial features while maintaining rapid automated measurement capability.
Solution Approach 2:
The patent replaces the mechanical/physical challenge of tracking moving facial features with an optical solution using fixed markers on the measurement clip. By substituting dynamic facial landmark detection with static marker recognition, the system achieves both high speed processing and high precision measurements through standard computer vision techniques.
3Measurement precision
If specialized hardware and software are required for measurement, then measurement accuracy is improved, but accessibility and ease of operation deteriorate
Solution Approach 1:
The measurement clip is designed to be self-contained and automatically positioned on the frame by the patient themselves without requiring optician assistance. The clip includes all necessary optical markers and reference features, enabling patients to perform their own measurements using standard smartphone cameras, thereby achieving high measurement accuracy through simple user operation.
Solution Approach 2:
The measurement clip serves multiple functions: it provides scale calibration, defines measurement reference points, and acts as a positioning guide all in one component. This universal design allows the same simple physical object to enable accurate measurements across different devices and users without requiring specialized hardware, greatly improving accessibility while maintaining precision.
Data Source
AI summary
A method for determining lens fitting parameters used for manufacturing a customized visual defect correction device for a customer is provided. The lens fitting parameters include a pupillary distance (PD) of the customer and a fitting height (FH) for the customer. The method includes retrieving, from a provisioning entity, the PD; retrieving, from a database, historical data, the historical data being gathered from one or more different data sources and consolidated in one or more historical data items, each historical data item being assigned to a previous customer and forming a tuple comprising at least the PD, the FH, and at least one frame specific feature; performing a FH determination method, the FH determination method depending on and using the retrieved historical data; and providing the FH and the PD as the lens fitting parameters to a manufacturing facility for manufacturing the customized visual defect correction device.