Trial Frame with Visual Invariant Markers for Remote Pupil Distance Measurement
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Solution Overview
Problem
The existing methods for measuring key parameters for customized glasses require a professional optometrist, leading to higher costs and the need for consumers to visit a specific location, as each person's pupil distance, head shape, and face shape are unique.
Innovation Solution
A trial frame with a measurement method that includes a visual invariant geometric characteristic, allowing users to record a two-dimensional image of specific points on the frame using an image capturing device, which deduces the key parameters, enabling remote measurement and customization without the need for an optometrist.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a professional optometrist is required to measure key parameters of the trial frame, then measurement accuracy is improved, but service cost increases and accessibility decreases
Solution Approach 1:
The patent implements self-service measurement by equipping the trial frame with automated measurement subjects (measurement markers and rulers) that enable users to measure key parameters independently. The frame automatically captures images of the measurement subjects and processes them to derive pupil distance, temple length, and other parameters without requiring professional optometrist intervention, thus improving accessibility while maintaining measurement accuracy through automated image processing algorithms.
Solution Approach 2:
The patent replaces the manual mechanical measurement system performed by optometrists with an automated optical-mechanical system. Measurement subjects including markers and rulers are integrated into the frame structure, and an image capturing device automatically records and processes these subjects to extract measurement data, substituting human manual measurement with automated image processing and calculation algorithms.
2Measurement precision
If an optometrist is required for measurement, then measurement precision is improved, but time consumption increases
Solution Approach 1:
The patent applies preliminary action by pre-integrating measurement subjects (markers and rulers) into the trial frame structure before use. These measurement subjects are positioned at predetermined locations and orientations, so that when the frame is worn, the measurement data is automatically captured in a single image without requiring sequential manual measurements, significantly reducing time consumption while maintaining precision through pre-configured measurement geometry.
Solution Approach 2:
The patent replaces time-consuming manual measurement procedures with automated image capture and processing. The measurement subjects are designed to be captured in a single photograph, and automated algorithms rapidly process the image to extract multiple measurement parameters simultaneously, reducing measurement time from minutes to seconds while maintaining optometrist-level precision.
3Loss of information
If multiple measurement parameters are measured manually, then measurement completeness is improved, but device complexity increases
Solution Approach 1:
The patent implements universality by designing the trial frame to perform multiple measurement functions through a unified structure. The same basic components (measurement markers, rulers, and image capturing device) are used to measure various parameters including pupil distance, temple length, bridge width, and lens tilt angles, allowing a single device to replace multiple specialized measurement tools and maintain measurement completeness without proportionally increasing complexity.
Solution Approach 2:
The patent merges multiple measurement functions into a single integrated system. Instead of separate devices for measuring pupil distance, temple length, and bridge width, the patent combines all measurement subjects and processing into one unified trial frame that captures all parameters simultaneously through a single image, reducing overall device complexity while maintaining measurement completeness.
Data Source
AI summary
A trial frame includes a trial frame body and at least one measurement subject having a visual invariant geometric characteristic. The trial frame body has at least one key parameter. The measurement subject is disposed on the trial frame body and collaborates with a measurement method. A two-dimensional image of the measurement subject is recorded by an image capturing device when the trial frame body fits to a user, and the key parameter is deduced from the two-dimensional image of the measurement subject.


