Eyepiece Diopter Verification via Image Sensor Spot Analysis
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Solution Overview
Problem
Current methods for verifying the diopter setting and range of optical system eyepieces are costly and prone to human subjectivity, relying on expensive precision devices like dioptometers that can introduce errors.
Innovation Solution
A system and method utilizing an image sensor to display and analyze test patterns of spots within the eyepiece, calculating the diopter setting and range by comparing images taken at different diopter settings, thereby reducing human intervention and costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a dioptometer is used to verify the diopter setting, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent uses an image sensor to capture optical images of test patterns displayed through the eyepiece, creating a digital copy of the optical output. This replaces the need for complex physical dioptometers with a simpler digital imaging system that can analyze the same optical information.
Solution Approach 2:
The patent replaces the mechanical/optical dioptometer system with an electronic image-based system. The image sensor captures images and computer algorithms process the data to determine diopter settings, substituting mechanical measurement with electronic detection and computational analysis.
2Measurement precision
If a dioptometer is used to verify the diopter setting, then measurement precision is improved, but ease of operation deteriorates due to human subjectivity
Solution Approach 1:
The system performs self-verification by automatically capturing images, processing the optical data, and calculating diopter settings without requiring human operators to manually adjust or interpret readings. The computer algorithm autonomously analyzes the test pattern images and determines the eyepiece diopter configuration.
Solution Approach 2:
The system captures images at multiple diopter settings and uses the captured data to verify whether the eyepiece diopter settings are within acceptable ranges. The computer provides feedback by comparing measured values against predetermined specifications and indicating compliance or non-compliance.
3Measurement precision
If multiple images are captured and processed, then measurement precision is improved, but productivity decreases
Solution Approach 1:
The system captures multiple images at different diopter settings in rapid succession, maintaining continuous operation throughout the verification process. The image sensor and computer system work continuously to capture, process, and analyze images without interruption, maximizing the efficiency of each verification cycle.
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
Provides accurate and cost-effective verification of diopter settings and ranges with minimal human subjectivity, using automated image processing to ensure precise calculations.
Implementation Method 1
creating at least one first image with the image sensor of the pattern of spots displayed on the display apparatus of the system at a zero diopter setting; creating at least one second image with the image sensor of the pattern of spots displayed on the display apparatus of the system at a first non-zero diopter setting
Data Source
AI summary
The present disclosure relates to a system and method for verifying a diopter setting and range of an optical system eyepiece by utilizing an image sensor to view and analyze test patterns of spots displayed within the optical system eyepiece and calculating the diopter setting and range of the optical system eyepiece from an observed change in the test pattern at different diopter settings.