Spectacle Frame Customization Using Corneal Image Distance Measurement
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional spectacle frames are mass-produced based on common parameters, leading to discomfort and inefficiency in customization, as manual measurements can be inaccurate and time-consuming, failing to account for individual anatomical differences such as pupil distance, nose bridge height, and corneal to ear apex distance.
Innovation Solution
A method for measuring actual distances on the human body using corneal images, involving steps to acquire and process front-view and side-view images to determine key parameters like pupil distance, nose bridge width, and corneal to ear apex distance, using a proportionality factor derived from the max horizontal radius of the eye, enabling off-site customization of spectacle frames.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional mass-produced spectacle frames are used based on common parameters, then manufacturing efficiency is improved, but customization precision and wearing comfort deteriorate
Solution Approach 1:
The patent uses image copying technology to capture the user's facial features through photographs or video frames. The system creates a digital replica of the user's face by detecting key points such as pupils, nose bridge, and ear positions, then uses this copied image data to generate customized spectacle frame parameters without requiring physical presence in a store.
Solution Approach 2:
The patent replaces manual mechanical measurement methods with automated image processing and coordinate system calculations. Instead of using physical measuring tools and manual adjustment by opticians, the system uses digital image analysis, coordinate transformation, and automated calculation to determine precise facial dimensions for frame customization.
2Adaptability or versatility
If manual measurements are performed in eyeglass stores or optometry centers, then customization capability is improved, but time consumption and measurement accuracy deteriorate
Solution Approach 1:
The patent performs preliminary facial feature detection and parameter calculation by processing images before the actual spectacle frame manufacturing. The system pre-extracts all necessary measurement data (pupil distance, nose bridge dimensions, ear position) from photographs or video frames, creating a complete digital measurement set that can be used immediately for frame production without requiring subsequent manual measurements.
Solution Approach 2:
The patent enables users to perform their own facial measurements by simply providing photographs or video frames. The automated system processes the images independently to extract all necessary parameters, eliminating the need for users to visit physical stores and undergo manual measurements by opticians, thus allowing self-service customization.
3Adaptability or versatility
If manual measurements are performed by opticians, then customization is possible, but measurement accuracy and parameter precision deteriorate due to subjective judgment
Solution Approach 1:
The patent replaces subjective manual measurement methods with objective automated image processing. The system uses computer vision algorithms to detect facial features and calculate parameters from photographs or video frames, eliminating human subjectivity and measurement errors. The automated coordinate system and calculation methods ensure consistent, precise measurements regardless of operator skill level.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system automatically validates detected facial features and adjusts measurements based on multiple image frames or photographs. The system can cross-verify measurements from different views and use algorithmic refinement to ensure measurement accuracy, providing objective feedback that corrects potential detection errors.
Data Source
AI summary
A method for measuring the actual distance of a human body based on a cornea image and a method for customizing a spectacle frame. The measurement method comprises the following steps: step 1, acquiring a front-view photograph with at least one dark part of eyes, or capturing a frame of a front-view image with at least one dark part of eyes from a video; step 2, detecting and positioning the first dark part; step 3, determining a max horizontal radius Lp of the first dark part; step 4, determining a proportionality factor η of an actual linear geometric size to a linear size in the photograph or the frame; and step 5, measuring an actual image distance between any two points, and multiplying the actual image distance by the proportionality factor η to obtain an actual distance between the two corresponding points on human body.

