Gradient Spectacle Lens Evaluation for Precise Transition Mapping
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Solution Overview
Problem
Existing methods for evaluating gradient spectacle lenses, such as sunglasses, are subjective and lack precision in determining the position and width of color transitions, making it difficult to adapt production processes effectively.
Innovation Solution
A computer-implemented method that calculates scalar values representing differences in color and transmission measurements across the lens, allowing for quantitative evaluation by comparing these values to thresholds and ideal curves, thereby identifying precise positions and widths of color transitions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual observation with a special ruler is used to measure gradient width, then the measurement process is simple and quick, but the measurement precision is low due to subjectivity and human eye limitations
Solution Approach 1:
The patent replaces the mechanical visual observation method with a digital imaging system that captures lens images and uses image processing algorithms to automatically measure gradient positions and widths. This substitution eliminates human subjectivity while maintaining operational simplicity through automated analysis.
Solution Approach 2:
The patent creates a digital copy of the lens gradient through imaging and uses this copy for measurement analysis. By working with the digital representation rather than the physical lens directly, the system achieves precise measurements without requiring complex physical measurement devices.
2Loss of information
If the Smart Shade device is used to analyze gradients, then automatic measurement is achieved, but no further information is obtained about the measured lens beyond a percentual match
Solution Approach 1:
The patent segments the lens into distinct regions (darker area, transition area, lighter area) and measures each region's properties independently. This segmentation allows the system to provide detailed information about position and width of each gradient zone while maintaining automated measurement through computer-based image analysis.
Solution Approach 2:
The patent transitions from the Smart Shade's one-dimensional percentual match metric to a two-dimensional analysis that provides both positional information (where the gradient occurs) and dimensional information (how wide each gradient zone is). This adds critical dimensions of information while preserving automation.
3Reliability
If a reference point identification method is used, then the measurement can be standardized, but the method fails when reference points do not exactly match between master and sample lenses
Solution Approach 1:
The patent implements a dynamic reference point identification system that automatically adapts to each lens being measured. Rather than requiring fixed pre-defined reference points, the system identifies reference points based on the actual lens characteristics during measurement, making it reliable across different lens types while maintaining standardization through automated algorithms.
Solution Approach 2:
The patent changes the approach from fixed reference point coordinates to dynamically determined reference points based on lens-specific parameters. This allows the measurement system to adapt to variations in lens design while maintaining consistent measurement methodology through parameter-based identification rather than position-based identification.
Data Source
AI summary
A computer-implemented method suitable for gradient spectacle lens evaluation and a corresponding computer are provided. Measurement data indicating at least one of a color or a transmission of a plurality of measurement points along at least one line across the spectacle lens is received. The method further includes calculating scalar values representing a difference of the measurement data of adjacent or overlapping measurement point groups of the plurality of measurement points. The spectacle lens is then evaluated based on the scalar values.