Wearable Device Optical Testing via Automated Image Alignment
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Solution Overview
Problem
Current methods for testing wearable devices with VR or AR technology are subjective and inaccurate, relying on human estimation of optical imaging parameters such as virtual image distance, size, visual angle, and distortion, which can lead to inconsistent and less precise results.
Innovation Solution
A computer-implemented method for testing wearable devices involves performing angle acquisition processes to determine optical imaging parameters by rotating the image acquisition component relative to the target virtual image formed by the lens component, using a test image with high contrast and alignment boxes to facilitate precise alignment and measurement, thereby obtaining objective and accurate optical imaging parameter values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If human estimation is used to determine optical imaging parameters, then the testing process is simple and quick, but the measurement precision and accuracy deteriorate
Solution Approach 1:
The patent replaces the mechanical human estimation process with an automated image acquisition and processing system. The image acquisition component captures images of alignment boxes, and a processing component automatically calculates optical imaging parameters (virtual image distance, size, visual angle, distortion) through coordinate extraction and mathematical computation, eliminating subjective human judgment and improving measurement precision.
Solution Approach 2:
The patent introduces alignment boxes as intermediary objects with known coordinates and high-contrast features. These alignment boxes serve as reference markers that facilitate precise positioning and measurement, enabling the image acquisition component to accurately determine optical imaging parameters through coordinate matching and geometric calculations.
2Reliability
If human estimation is used for optical imaging parameters, then the testing process is fast, but the reliability and consistency of results worsen
Solution Approach 1:
The patent replaces the mechanical human estimation process with an automated image acquisition and processing system. The image acquisition component captures images of alignment boxes, and a processing component automatically calculates optical imaging parameters (virtual image distance, size, visual angle, distortion) through coordinate extraction and mathematical computation, eliminating subjective human judgment and improving measurement precision.
Solution Approach 2:
The testing system performs self-measurement and self-calibration using the alignment boxes as reference standards. The processing component automatically extracts coordinates from captured images and computes optical imaging parameters without requiring external intervention or human estimation, ensuring consistent and reliable results across multiple tests.
3Measurement precision
If alignment boxes with high contrast are used, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The patent employs alignment boxes with high-contrast color schemes (e.g., black boxes on white background or vice versa) to maximize visual distinguishability. The high contrast enables the image acquisition component to clearly detect box boundaries and extract coordinates with high precision, even in varying lighting conditions, thereby improving measurement accuracy despite the increased structural complexity of the test image.
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
This method provides a more objective and accurate assessment of wearable device performance by machine measurement, improving the accuracy of optical imaging parameter determination compared to human estimation, ensuring enhanced display performance and optimization.
Implementation Method 1
a target virtual image is formed, via the lens component, by an actual test image displayed by a display screen
Data Source
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AI summary
The present application belongs to the field of electronic technology application, and disclosed thereby are a wearable device testing method and system. The method comprises: performing at least two angle acquisition processes, and determining an optical imaging parameter value of a target virtual image on the basis of angle change values obtained in the at least two angle acquisition processes. According to the present application, an angle change value corresponding to the relative movement of an image acquisition component is acquired by changing the position in a target virtual image of the center point of an imaging area of the image acquisition component, and an optical imaging parameter value of the target virtual image displayed by a wearable device is acquired on the basis of the angle change value. Since the optical imaging parameter value is acquired by means of machine measurement, the current problem of an optical imaging parameter value of a target virtual image being subjective and low in accuracy due to the optical imaging parameter value being estimated by means of the human eye is solved, and the finally determined optical imaging parameter value is more objective and more accurate than that obtained by means of the human eye. Figure 3 is the abstract drawing.