Interpupillary Distance Measurement Using Fitting Pad and Image Processing
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Solution Overview
Problem
Existing methods for measuring interpupillary distance are prone to manual interference, leading to inaccuracy and are often too expensive for practical use, making it difficult to obtain precise measurements, especially for self-measurement.
Innovation Solution
A system utilizing a fitting pad with detection points and pupil distance calculator software that captures images, automatically locates the detection points and pupil centers, calculates the distance in pixels, and converts it to millimeters, incorporating three-dimensional spatial depth data from a range imaging sensor and two-dimensional color data to provide accurate interpupillary distance measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual measurement methods are used, then device complexity is reduced, but measurement precision deteriorates due to manual interference
Solution Approach 1:
The patent replaces manual mechanical measurement with an automated image processing system. A camera captures images of the subject's face, and software automatically detects pupil positions and calculates interpupillary distance, eliminating manual interference and improving measurement precision while maintaining relatively simple device complexity.
Solution Approach 2:
The patent creates a digital copy of the subject's face through photography. The measurement is performed on the captured image rather than direct physical measurement, allowing automated detection of pupil centers and precise calculation of interpupillary distance without manual intervention.
2Measurement precision
If automated image processing is used, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The measurement system performs self-service through automated algorithms that detect pupil centers and calculate interpupillary distance without requiring complex manual calibration or adjustment. The software automatically processes the captured image and provides the measurement result.
3Measurement precision
If professional measurement devices are used, then measurement precision is improved, but cost increases making it inaccessible for practical use
Solution Approach 1:
The patent uses a standard digital camera instead of expensive specialized measurement devices. The camera is a common, inexpensive component that can be found in smartphones or digital cameras, making the system cost-effective and accessible for practical use while maintaining measurement precision through automated image processing.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system provides precise and cost-effective measurements of interpupillary distance with minimal manual interference, enabling accurate fitting of eyeglasses and calculation of segment height for multi-focal lenses, improving the precision and accessibility of the measurement process.
Implementation Method 1
producing three dimensional spatial depth data from a range imaging sensor
Implementation Method 2
capturing two dimensional color data of the object with a color imaging sensor
Data Source
AI summary
The proposed innovation provides methods and systems for measuring the interpupillary distance. The proposed innovation provides a fitting pad (102) having two detection points (104 and 106). The fitting pad is placed on the forehead of the user and an image is captured. The image is uploaded and pupil distance calculator software locates the fitting detection points and calculates the distance in pixels of the left and right X, Y coordinates. The software creates an image scale by dividing the pixel counts between the detection points. The software automatically locates the X, Y coordinates between the center of the left and right pupils and calculates the distance in pixels. The resulting pixel distance divided by the image scale provides the interpupillary distance in millimeter. In embodiments, segment height is calculated based upon an image imported by the user and the combined scaled images of the user and the frame.