Behavioral Parameter Determination for Ophthalmic Lens Design
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Solution Overview
Problem
Current methods for designing ophthalmic lenses are inaccurate due to unnatural measurement conditions at opticians' stores, which do not account for behavioral parameters like reading distance and eye-head coefficient, essential for personalized lens design.
Innovation Solution
A method that involves acquiring three-dimensional data of the wearer's head in natural postures using distinct image capture devices, allowing for the determination of behavioral parameters such as reading distance and eye-head coefficient, decoupling optician-led measurements from wearer-led data collection in everyday environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If measurements are taken at the optician's store, then behavioral parameters can be determined, but the measurements are biased by unnatural conditions and lack accuracy
Solution Approach 1:
The wearer performs the measurement themselves using their own mobile device in their natural environment, eliminating the need for optician intervention during the actual measurement. This self-service approach allows the wearer to capture images of themselves in their usual working posture without artificial constraints, thereby improving measurement naturalness while maintaining accuracy through automated image processing algorithms.
2Ease of operation
If remote measurement systems are used, then measurements can be taken under natural conditions, but behavioral parameters such as reading distance and eye-head ratio cannot be determined
Solution Approach 1:
A processing server acts as an intermediary between the wearer's mobile device images and the behavioral parameter calculations. The server receives images captured in natural conditions, automatically identifies key facial landmarks (eyes, nose, mouth positions), and computes behavioral parameters algorithmically. This intermediary processing enables remote determination of previously unmeasurable behavioral parameters while maintaining the natural measurement conditions.
3Measurement precision
If traditional optician-led measurement methods are used, then behavioral parameters can be determined, but the process is complex and time-consuming
Solution Approach 1:
The patent replaces the mechanical/optical measurement equipment used in traditional optician settings with a software-based image processing system running on a mobile device and server. Instead of using specialized measurement devices that require manual operation and interpretation, the system uses automated computer vision algorithms to analyze regular photographs and extract behavioral parameters, dramatically reducing measurement time while maintaining precision.
4Measurement precision
If multiple image capture devices are used to acquire three-dimensional data, then behavioral parameters can be precisely determined, but the device complexity increases
Solution Approach 1:
The patent makes the mobile device universal by enabling it to perform multiple functions: capturing images, processing images locally, transmitting data, and serving as both the image capture device and processing unit. This multi-functionality eliminates the need for separate specialized measurement equipment, reducing device complexity while maintaining the capability to acquire and process three-dimensional head data for precise behavioral parameter determination.
Data Source
Figure 1~2
AI summary
The invention relates to a method of determining at least one behavioural parameter of a wearer with a view to the design of an ophthalmic lens for a spectacle frame of this wearer, comprising the following steps: a) the acquisition is carried out of a first data set corresponding to a first representation of the head of the wearer in three dimensions, b) the relative position in space of at least three particular points of the head of the wearer is determined on the basis of this data set, c) the acquisition is carried out of a second data set corresponding to a second representation of the head of the wearer in a natural posture, comprising at least one image of each of the three particular points of the head of the wearer, d) the image of each of said particular points of the head of the wearer whose relative positions in space were determined in step b) is identified on said second representation of step c), e) information relating to the position and/or to the orientation of the head of the wearer during the determination of said second representation is deduced from this identification, f) said behavioural parameter of the wearer is determined on the basis of the information deduced in step e).