Smart Glasses for Strabismus Correction via Sensor-Driven Lens Shading
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Solution Overview
Problem
Current methods for correcting eye misalignment, such as eye patches and corrective lenses, face challenges including non-compliance, psychological issues, and potential visual acuity loss, especially in children, and lack accuracy in detecting subtle deviations.
Innovation Solution
Interactive eyeglasses equipped with polarized lenses and sensors that measure and correct eye alignment by shading the unaffected eye using an algorithm responsive to eye deviation data, allowing for accurate and non-intrusive alignment correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If eye patches are used to correct misalignment, then the deviated eye is forced to align, but patient compliance decreases and psychological issues arise
Solution Approach 1:
The patent replaces the mechanical eye patch system with an optical-electronic system. Sensors detect eye alignment status, and electronically controllable lenses (such as liquid crystal lenses) adjust transparency dynamically to occlude the healthy eye when misalignment is detected, eliminating the need for physical patches and improving compliance.
Solution Approach 2:
The system automatically detects eye misalignment through sensors and autonomously activates the corrective mechanism by adjusting lens transparency. The device monitors and corrects alignment without requiring patient intervention or awareness, making the treatment self-regulating and improving compliance.
2Object-affected harmful factors
If corrective lenses are used to address refractory deficiencies, then muscle strain is decreased, but measurement precision of eye deviation is insufficient
Solution Approach 1:
The patent replaces subjective assessment methods with an electronic sensing system. Sensors (such as infrared cameras or photodetectors) objectively measure eye position and deviation angles, providing precise quantitative data for diagnosing and monitoring strabismus, thereby improving measurement precision.
Solution Approach 2:
The system continuously monitors eye alignment through sensors and provides real-time feedback on deviation status. This feedback mechanism enables precise measurement and tracking of eye position changes, allowing for accurate assessment of alignment correction effectiveness over time.
3Reliability
If prolonged patching of the non-deviated eye is used to correct misalignment, then the deviated eye alignment improves, but visual acuity of the non-deviated eye decreases
Solution Approach 1:
The system dynamically adjusts lens transparency based on real-time eye alignment detection. Instead of prolonged static patching, the electronic lens occludes the healthy eye only when misalignment is detected and removes occlusion when alignment is achieved, providing controlled, adaptive treatment that preserves visual acuity while maintaining alignment correction effectiveness.
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 glasses provide a passive, compliant, and effective means to correct eye misalignment, improving long-term treatment outcomes by accurately measuring and addressing deviations, reducing the need for constant patch therapy, and enabling early detection of traumatic brain injuries.
Implementation Method 1
The glasses may use polarized lenses that can be scheduled or programmed to shade out the desired eye
Implementation Method 2
the present invention uses color sensors and reflected light and processes to detect eye direction and misalignment
Data Source
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AI summary
A system includes glasses for executing a process to correct the alignment of an eye if a misalignment condition is detected. The glasses include lens that change opacity as instructed by a processor. The system determines that an eye is not aligned correctly based on data captured by one or more sensors in the glasses. Data is captured periodically and compared to a baseline set of data. If a deviation is detected, then the appropriate lens is turned "ON" to shade the aligned eye, thereby forcing the misaligned eye to properly align itself.