Eyeglass Frame Type Detection for Image Analysis Precision
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Solution Overview
Problem
Conventional eyeglass wearing image analysis devices face challenges in accurately detecting and measuring eyeglass frames, especially when they are not equipped with attachments or seals, leading to suboptimal photography and measurement outcomes.
Innovation Solution
The eyeglass wearing image analysis device acquires eyeglass frame type information and performs control operations based on this information, including light adjustments, gain settings, and optical system positioning, to enhance detection accuracy and measurement precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the eyeglass frame position is detected by detecting an edge of the eyeglass frame on the photographed image without attachments or seals, then the device complexity is reduced, but the measurement precision deteriorates
Solution Approach 1:
The patent applies preliminary action by pre-classifying eyeglass frames into multiple types (first type with clear edges, second type with faint edges, third type without edges) before performing detection. This allows the system to select appropriate detection strategies in advance, improving measurement precision without significantly increasing device complexity.
Solution Approach 2:
The patent changes detection parameters based on frame type. For different eyeglass frame types, the system adjusts detection sensitivity, edge detection thresholds, and processing methods. This parameter adaptation enables accurate detection across diverse frame styles while maintaining reasonable device complexity.
2Ease of operation
If the eyeglass frame type is not considered in the control operation, then the ease of operation is improved, but the manufacturing precision deteriorates
Solution Approach 1:
The system applies self-service by automatically acquiring and utilizing eyeglass frame type information without requiring manual intervention. The controller automatically adjusts control operations based on the detected frame type, maintaining ease of operation while improving manufacturing precision through adaptive processing.
Solution Approach 2:
The patent implements dynamics by making the control operation flexible and adaptive to different frame types. Rather than using a fixed operation sequence, the system dynamically adjusts its control strategy based on the acquired frame type information, enabling precise manufacturing across various frame styles.
Data Source
AI summary
An eyeglass wearing image analysis device includes: an acquisition unit that acquires eyeglass frame type information; and a controller that performs a control operation based on the eyeglass frame type information.