Remote Eye Testing With Lighting Feedback for Early Vision Changes
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Solution Overview
Problem
Current technologies face challenges in performing remote and active eye performance monitoring, as they require specialized and expensive medical devices, and do not consider environmental lighting, leading to inadequate eye testing for early changes in visual performance.
Innovation Solution
A method that establishes a data communication session between an end user's computer and a remote eye test server, administers an automated eye test, and adjusts environmental lighting conditions, such as the location of a lamp, to optimize testing conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If specialized medical devices are used for eye testing, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent uses standard computer display devices and cameras to create a simplified copy of the specialized medical testing system. Instead of requiring complex ophthalmic equipment, the invention replicates eye testing functionality using readily available consumer electronics, thereby reducing device complexity while maintaining measurement capability through software-based visual acuity assessment
Solution Approach 2:
The patent replaces mechanical/optical medical testing equipment with a software-based system running on standard computers. The mechanical components of traditional eye exam devices are substituted with digital displays, webcams, and algorithmic processing, eliminating the need for specialized medical hardware while preserving the essential function of visual performance measurement
2Ease of operation
If environmental lighting is not considered, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The system incorporates environmental lighting detection through the computer's camera or ambient light sensors, continuously monitoring lighting conditions during the eye test. This feedback mechanism allows the system to detect suboptimal lighting and either alert the user to adjust conditions or compensate for lighting variations, thereby maintaining measurement precision without complicating the user experience
Solution Approach 2:
The system automatically detects and assesses environmental lighting conditions without requiring manual input from the user. The lighting evaluation is performed autonomously as part of the testing process, and the system self-adjusts or self-corrects for lighting variations, maintaining measurement accuracy while preserving ease of operation
3Productivity
If automated eye testing is implemented, then productivity is improved, but reliability deteriorates due to lack of professional oversight
Solution Approach 1:
The patent introduces an automated image processing and analysis system as an intermediary between the user's eye responses and the final diagnostic conclusions. This intermediary layer uses computer vision algorithms to objectively measure visual acuity, track eye movements, and assess responses, providing reliable automated measurement while maintaining the option for professional medical interpretation when needed
Data Source
AI summary
An eye test administered to a remote subject over a computer network, where sensors provide feedback through the computer network so that light source position, light source brightness and/or a display configuration and/or parameter setting related to a visual display that is used to implement the remote eye test.