Virtual Eyewear Evaluation for Personalized Lens Selection
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Solution Overview
Problem
Existing methods for selecting visual equipment fail to account for individual wearer-specific habits, motion, task, and environment, leading to suboptimal choices and difficulty in explaining benefits to customers.
Innovation Solution
A device and method that evaluates multiple visual equipment models by obtaining personalized parameters, creating virtual models of the wearer, environment, and tasks, and simulating performance to recommend customized 'made-to-measure' equipment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single group-based avatar evaluation is used, then evaluation efficiency is improved, but individual wearer customization is lost
Solution Approach 1:
The system segments the evaluation process into two distinct stages: first, a group-based avatar evaluation provides baseline performance data for categories of wearers; second, an individual customization stage allows specific wearer parameters (age, gender, occupation, lifestyle) to refine and personalize the evaluation results. This segmentation enables both efficient group-level assessment and tailored individual recommendations.
Solution Approach 2:
The system performs preliminary evaluation using a group-based avatar before individual customization. This preliminary action establishes a baseline performance assessment that can be efficiently computed for multiple wearers, and then individual parameters are applied to adjust and refine the results, combining the efficiency of bulk processing with the precision of personalized evaluation.
2Measurement precision
If detailed individual parameters are collected, then evaluation accuracy is improved, but data collection complexity increases
Solution Approach 1:
The system uses a universal data collection framework that serves multiple functions: the same input interface collects both demographic information (age, gender) and behavioral parameters (occupation, lifestyle habits), which are then used together in the evaluation process. This multi-functional approach reduces the need for separate specialized input mechanisms for each type of parameter.
Solution Approach 2:
The system creates a virtual copy (digital avatar) of the wearer that incorporates all individual parameters. This digital copy serves as a surrogate for the actual wearer, allowing detailed parameter collection without requiring physical measurements or complex instrumentation. The virtual model replicates wearer characteristics in a computationally manageable format.
Data Source
AI summary
A device for evaluating visual equipment models corresponding to real visual equipments. The device includes at least one input adapted to obtain parameters including a prescription for a given human wearer of any one of the real visual equipments, a set of ophthalmic lenses pre-selected on the basis of those parameters, at least one processor configured, for each pre-selected ophthalmic lens, to obtain a visual equipment model including a virtual ophthalmic lens defined by the same characteristics as the pre-selected ophthalmic lens, obtain a wearer model from the parameters, the visual equipment model cooperating with the wearer model, obtain an environment and visual task model including a sequence of points to be looked at by the wearer model, and evaluate a performance of the visual equipment model worn by the wearer model and combined with the environment and visual task model.