Next-Generation Visual System Characterization Platform

Publication ID: 24-11857254_0010_PTD
Published: November 07, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Next-Generation Visual System Characterization Platform,” Published Technical Disclosure No. 24-11857254_0010_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857254_0010_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,254.

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

SectionClassGroup
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

Original Patent Information

Patent NumberUS 11,857,254
TitleMethod and system for characterizing the visual system of a subject
Assignee(s)Essilor International, SORBONNE UNIVERSITE