Bezel Geometry Correction via Acceleration Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for acquiring the geometry of spectacle frame bezels, particularly in strongly curved and tilted frames, fail to provide precise results due to the feeler sliding off the bezel's bottom edge, leading to inaccuracies in lens fitting.
Innovation Solution
A method that identifies and corrects anomaly zones in the palpated curve by analyzing the feeler's acceleration and speed, using threshold values based on the frame's curvature, to ensure precise tracing of the bezel's geometry, involving re-feeling or interpolation to reconstruct the correct curve.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a simple feeling method is used for strongly curved frames, then the operation is simple and fast, but the measurement precision deteriorates due to feeler sliding off the bezel
Solution Approach 1:
The patent applies preliminary action by performing a first feeling of the bezel to obtain initial geometry data, then using acceleration analysis to identify anomaly zones before performing a second targeted feeling only in those zones. This preliminary detection phase allows the system to prepare correction strategies in advance, ensuring high precision without requiring complex real-time adjustments during the main measurement process.
Solution Approach 2:
The patent implements feedback by analyzing the acceleration of the feeler during the feeling operation to detect anomaly zones where the feeler slides off the bezel. This feedback mechanism uses the measured acceleration data to identify problematic areas, which then triggers a correction phase where those specific zones are re-measured. The feedback loop ensures that measurement precision is maintained by continuously monitoring and correcting deviations.
2Device complexity
If the feeler is manually controlled during feeling, then the device complexity is low, but the measurement precision deteriorates in highly curved zones
Solution Approach 1:
The patent applies self-service by enabling the system to automatically detect anomaly zones through acceleration analysis and autonomously determine which zones require re-measurement. The system serves itself by using its own measurement data to identify errors and trigger corrections without external intervention. This maintains low device complexity while achieving high precision through intelligent automated detection and correction protocols.
3Productivity
If a single feeling pass is performed, then the productivity is high, but the manufacturing precision deteriorates due to undetected anomaly zones
Solution Approach 1:
The patent applies segmentation by dividing the feeling process into distinct phases: a first global feeling pass to obtain overall geometry, an acceleration analysis phase to identify anomaly zones, and a second targeted feeling phase focused only on problematic zones. This segmentation allows the system to maintain high productivity by limiting re-measurement to only necessary areas rather than requiring complete re-measurement of the entire bezel.
Solution Approach 2:
The patent implements partial action by performing feeling operations selectively only in identified anomaly zones rather than uniformly across the entire bezel. This partial re-measurement approach provides sufficient precision correction without the excessive time cost of complete re-measurement, optimizing the balance between productivity and manufacturing precision.
Data Source
Figure 1~2
Figure 3~4
Figure 5~7
AI summary
The invention relates to a method for correcting the geometry of a traced curve. The inventive correction method comprises the following steps: a step for searching one or more abnormality areas (S1, S2) in the traced curve (19) and, if one more abnormalities are detected, for correcting the geometry of each abnormality area in the traced curve.