Spectacle Lens Optimization via Individual Parameter Quality Grades
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Solution Overview
Problem
Conventional progressive spectacle lenses fabricated using free-form technology often lack individual optimization, resulting in optical properties that deviate from the target values, especially for astigmatic and prismatic prescriptions, and are not tailored to the specific parameters of the wearer, leading to suboptimal image formation quality.
Innovation Solution
A method to optimize spectacle lenses by determining individual parameters for each wearer, allowing selection of a desired quality grade, which adapts the parameters to calculate the lens surface, enabling a continuum of quality grades and simplifying the manufacturing process by superimposing a prescription surface onto an optimized surface shape.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If conventional free-form technology is used to fabricate progressive spectacle lenses, then manufacturing capability is improved, but optical properties deviate from target values especially for astigmatic and prismatic prescriptions
Solution Approach 1:
The patent applies parameter changes by introducing a quality grade parameter that modifies the optimization criteria. Instead of always optimizing for maximum image quality, the system adjusts the degree of optimization based on the selected quality grade, allowing trade-offs between manufacturing complexity and optical performance. This enables conventional free-form manufacturing to achieve acceptable optical properties by selecting appropriate quality grades rather than requiring perfect optimization.
2Manufacturing precision
If individually optimized spectacle lenses are manufactured, then image formation quality is improved, but manufacturing complexity increases
Solution Approach 1:
The quality grade parameter serves as a control variable that modifies the optimization process. By changing this parameter, the system can produce lenses with different levels of individual optimization without always implementing the most complex optimization algorithms. This allows manufacturers to offer multiple quality levels using the same manufacturing infrastructure.
Solution Approach 2:
The patent implements partial optimization by allowing quality grades that do not achieve maximum possible optimization. Instead of always applying full individual optimization, the system can apply partial optimization based on the selected quality grade, reducing computational complexity and manufacturing complexity while still achieving acceptable optical results.
3Adaptability or versatility
If a continuum of quality grades is implemented, then customer customization is improved, but system complexity increases
Solution Approach 1:
The quality grade is implemented as a single control parameter that can take multiple values representing different quality levels. This parameter-based approach allows for a continuum of customization options without requiring complex multi-dimensional control systems. The optimization algorithm simply needs to adjust its criteria based on this single parameter value.
Data Source
AI summary
A method, a system and a computer program product are provide for optimizing a spectacle lens for a wearer with a selectable quality grade. In particular, a set of individual parameters is determined for the wearer and a desired quality grade is identified. Depending the identified quality grade, the set of individual parameters is adapted and a surface of the spectacle lens is calculated based on the adapted set of individual parameters.