Image-Based Frame and Lens Assembly Verification
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Solution Overview
Problem
Current methods for checking the fitting conformity of frames and corrective lenses are subjective and prone to errors due to parallax effects and different measurement references, leading to inaccurate assessments.
Innovation Solution
A method using objective image-based measurements with centering and horizontality markers, allowing for comparison between initial and final stages with the same operating conditions, and incorporating image processing to verify parameter alignment, thereby reducing errors and providing a clear compliance diagnosis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If visual assessment with centering card and ruler is used, then the control process is simple and quick, but the measurement precision deteriorates due to subjective interpretation and parallax effects
Solution Approach 1:
The patent replaces the mechanical measurement system (ruler and centering card requiring visual assessment) with an optical/image-based measurement system. The system captures images of the wearer's face with the frame and lenses, then uses image processing to automatically determine lens positions and compare them with reference values, eliminating subjective visual interpretation while maintaining measurement speed.
Solution Approach 2:
The patent creates an optical copy (image) of the wearer's face with the frame and lenses, then analyzes this copy to extract measurement data. This allows the measurement process to be performed on the image rather than requiring direct physical measurement with rulers, thereby eliminating parallax effects and subjective interpretation while preserving the quick assessment capability.
2Adaptability or versatility
If multiple different measurement means are used, then various parameters can be measured, but the reliability deteriorates due to different measurement references and increased sources of error
Solution Approach 1:
The patent implements a universal image-based measurement system that can determine multiple parameters (lens centering, frame position, pupillary distance, etc.) using the same fundamental approach. By capturing a single image and processing it to extract various measurements, the system maintains consistency across all parameters while preserving measurement versatility, eliminating the problem of conflicting references from different measurement tools.
3Ease of manufacture
If traditional visual control methods are used, then no special equipment is needed, but the measurement precision deteriorates due to parallax effects and subjective interpretation
Solution Approach 1:
The patent replaces the simple visual inspection method with an automated image processing system. The system captures images using a camera, processes them computationally to determine lens and frame positions, and automatically compares these positions with reference values. This substitution maintains ease of implementation while dramatically improving measurement accuracy by eliminating parallax effects and subjective interpretation.
Solution Approach 2:
The system performs self-measurement by automatically capturing images, processing them to extract measurement data, and comparing results with reference values without requiring manual intervention. This automated approach maintains simplicity of operation while improving accuracy, as the system serves itself to perform measurements that were previously done manually with rulers and visual assessment.
Data Source
AI summary
The invention relates to a method for checking the correct assembly of a device consisting of a frame and of two corrective ophthalmic lenses. The main feature of a method according to the invention is that it includes the following steps: an initial step of determining at least one parameter which makes it possible to position the lenses in the frame relative to the face; a subsequent step of acquiring at least one image of the face of said wearer with said device, which shows centring and horizontal level marks; a step of comparing said at least one parameter determined during said initial step with the corresponding parameter deduced from said at least one image; and a step of making a decision regarding the correct assembly of the device.