Image-Based Display Fit Measurement for Wearable Devices
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Solution Overview
Problem
Existing systems for wearable devices, such as smart glasses, do not provide customization options for fit and function, particularly without access to a retail establishment, limiting users' ability to select frames and incorporate prescription lenses.
Innovation Solution
A method using visual markers on fitting frames to detect and analyze images captured by a computing device, determining the three-dimensional pose of the frame and accessing configuration information to customize the display device for ophthalmic and display fit measurements, allowing for the incorporation of corrective lenses without physical retail access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If existing procurement systems are used for wearable devices, then device acquisition is simplified, but customization options for fit and function are lost
Solution Approach 1:
The system enables users to perform their own fit measurements and customization selections at home using mobile devices and visual markers, eliminating the need for retail establishment visits while maintaining full customization capabilities for frames, lenses, and display configuration
2Measurement precision
If retail establishment access is required for fitting, then accurate fit measurements can be obtained, but user convenience and accessibility are reduced
Solution Approach 1:
The patent replaces manual measurement procedures performed by retail staff with an automated image processing system that uses visual markers and computer vision algorithms to detect and measure fit parameters from photographs, achieving accurate measurements without requiring physical retail establishment access
Solution Approach 2:
Visual markers are introduced as intermediary elements that facilitate accurate measurement detection. These markers are placed on the user's face and captured in images, serving as reference points for the image processing algorithm to calculate precise fit measurements including pupillary distance and frame positioning
3Loss of information
If traditional fitting methods are used, then comprehensive fit data can be collected, but system complexity and infrastructure requirements increase
Solution Approach 1:
The system creates a digital representation (3D model) of the user's face and fit parameters based on 2D images containing visual markers. This digital copy contains all necessary fit information without requiring physical measurement tools or complex infrastructure, enabling complete fit data collection through standard mobile device cameras
Data Source
AI summary
A system and method of detecting display fit measurements and/or ophthalmic measurements for a head mounted wearable computing device including a display device is provided. An image of a fitting frame worn by a user of the computing device is captured by the user, through an application running on the computing device. One or more visual markers each including a distinct pattern are detected in the image including the fitting frame. A model of the fitting frame, and configuration information associated with the fitting frame, are determined based on the detection of the pattern. A three-dimensional pose of the fitting frame is determined based on the detected visual marker(s) and patterns, and the configuration information associated with the fitting frame. The display device of the head mounted wearable computing device can then be configured based on the three-dimensional pose of the fitting frame as captured in the image.