Next-Generation Visual System Characterization Platform
Legal Citation
Summary of the Inventive Concept
A futuristic visual system characterization platform that leverages artificial intelligence, machine learning, and digital twins to provide real-time, personalized, and predictive visual system assessments.
Background and Problem Solved
The original patent disclosed a method for characterizing the visual system of a subject using measures of sensitivity to contrast. However, this approach has limitations, such as being time-consuming, requiring extensive data collection, and lacking personalization. The new inventive concept addresses these limitations by introducing a paradigm shift in visual system characterization, enabling real-time, predictive, and personalized assessments.
Detailed Description of the Inventive Concept
The next-generation visual system characterization platform comprises a neural network-based visual signal processing module, a cloud-based data repository, a machine learning-based analytics engine, and a visualization module. The platform uses digital twins to simulate the impact of internal noise sources on the visual system, allowing for real-time optimization of characterization parameters. Additionally, the platform includes a wearable device for real-time visual system characterization, providing personalized recommendations for visual system improvement. The platform's predictive capabilities enable the forecasting of visual system degradation, allowing for proactive measures to be taken.
Novelty and Inventive Step
The new inventive concept introduces a novel combination of artificial intelligence, machine learning, and digital twins to revolutionize visual system characterization. The use of neural networks, cloud-based data repositories, and machine learning-based analytics engines provides a significant improvement over the original patent's approach, enabling real-time, personalized, and predictive assessments.
Alternative Embodiments and Variations
Alternative embodiments of the inventive concept could include the use of different machine learning algorithms, varying levels of digital twin complexity, or the integration of additional sensors and data sources. Variations could also include the application of the platform in different industries, such as healthcare, education, or entertainment.
Potential Commercial Applications and Market
The next-generation visual system characterization platform has vast commercial potential in various industries, including healthcare, education, and entertainment. The platform's predictive capabilities and personalized recommendations could revolutionize the way visual system disorders are diagnosed and treated, while its real-time assessment capabilities could transform the way visual system performance is evaluated and improved.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A61 | A61B3/0025 |
| A | A61 | A61B3/0041 |
| A | A61 | A61B3/022 |
| A | A61 | A61B3/032 |
| A | A61 | A61B3/066 |
| G | G16 | G16H30/40 |
| G | G16 | G16H50/30 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Medical imaging and visual system diagnostics, with expertise in neurophysiological assessment techniques, signal processing, and advanced diagnostic technologies involving ophthalmological and neurological measurement systems
Person of Ordinary Skill (PHOSITA) Profile
A professional with advanced training in biomedical engineering, neuroscience, or medical physics, possessing knowledge of signal processing algorithms, neural system characterization methods, and emerging diagnostic technologies
Obviousness Rationale
A person having ordinary skill would recognize that the published technical disclosure represents a predictable technological evolution of the source patent's visual system characterization method by integrating contemporary machine learning and digital twin technologies. The fundamental approach of quantifying visual system sensitivity remains consistent, with the PTD merely introducing computational and predictive enhancements that would be considered routine optimization by a skilled practitioner. The core technical problem of characterizing visual system performance is addressed through increasingly sophisticated computational techniques that extend rather than fundamentally transform the original patent's methodology.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,254 |
|---|---|
| Title | Method and system for characterizing the visual system of a subject |
| Assignee(s) | Essilor International, SORBONNE UNIVERSITE |