Synergistic Visual System Characterization System

Publication ID: 24-11857254_0008_PTD

Published: November 07, 2025

Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Synergistic Visual System Characterization System,” Published Technical Disclosure No. 24-11857254_0008_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857254_0008_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 comprehensive system integrating visual tests, machine learning, IoT, blockchain, and AI to provide personalized visual recommendations, optimize visual systems, and securely store response models.

Background and Problem Solved

The original patent disclosed a method and system for characterizing the visual system of a subject using measures of sensitivity to contrast. However, the patent's limitations included the lack of integration with other technologies to provide a more holistic approach to visual system characterization. The new inventive concept addresses this limitation by combining the patented method with AI, IoT, blockchain, and machine learning to create a more powerful and comprehensive system.

Detailed Description of the Inventive Concept

The Synergistic Visual System Characterization System comprises a visual test module, a machine learning module, and a blockchain-based storage module. The visual test module measures sensitivity to contrast, and the machine learning module analyzes the measured sensitivity to generate a response model of the visual system. The blockchain-based storage module securely stores the response model, enabling secure data sharing and collaboration. The system can be integrated with AI-powered recommendation systems, wearable devices, and IoT-based communication modules to provide real-time visual system characterization and personalized visual recommendations.

Novelty and Inventive Step

The new claims introduce the integration of the patented method with AI, IoT, blockchain, and machine learning, providing a novel and non-obvious solution for visual system characterization. The inventive step lies in the synergistic combination of these distinct technologies to create a more comprehensive and powerful system.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of different machine learning algorithms, varying blockchain architectures, or integrating with other emerging technologies like augmented reality or 5G networks.

Potential Commercial Applications and Market

The Synergistic Visual System Characterization System has significant commercial potential in industries such as healthcare, education, and entertainment, where personalized visual recommendations and optimized visual systems can improve user experiences and outcomes.

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)

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Field of Art

Medical imaging, visual system diagnostics, and computational neuroscience, with expertise in psychophysical testing, signal processing, and machine learning techniques for characterizing visual perception

Person of Ordinary Skill (PHOSITA) Profile

A professional with advanced degrees in biomedical engineering, neuroscience, or optical engineering, possessing skills in experimental design, signal processing algorithms, data analysis, and interdisciplinary technology integration

Obviousness Rationale

A person having ordinary skill would recognize that the source patent's precise visual system characterization method naturally extends to computational and data-driven approaches. The fundamental methodology of measuring visual sensitivity can be readily augmented with machine learning, blockchain, and IoT technologies as complementary analytical and data management techniques. The integration represents a predictable evolution of the original visual system characterization technique using standard technological convergence strategies.

Obvious Combinations & Variations

Source Patent Element

Method for quantifying visual signal processing elements using noise sensitivity measurements

PTD Variation

Generating machine learning response models based on visual sensitivity data

Obviousness Reasoning

Predictable application of machine learning to transform raw visual sensitivity measurements into structured predictive models, representing a standard data science approach to diagnostic information processing

Source Patent Element

Contrast threshold assessment across different noise levels

PTD Variation

Using blockchain for secure storage and sharing of visual system response models

Obviousness Reasoning

Logical extension of diagnostic data management, applying standard cryptographic and distributed ledger technologies to preserve research data integrity and enable collaborative analysis

Source Patent Element

Visual system characterization using luminance and frequency measurements

PTD Variation

Integration with IoT and wearable devices for real-time continuous visual monitoring

Obviousness Reasoning

Predictable technological progression using miniaturized sensors and wireless communication to enable continuous, non-invasive visual system assessment

Source Patent Element

Quantifying visual signal processing elements' impact on contrast sensitivity

PTD Variation

AI-powered personalized visual training and recommendation systems

Obviousness Reasoning

Natural algorithmic extension converting diagnostic measurements into actionable personalized interventions using standard machine learning recommendation techniques

35 U.S.C. § 103 Summary: Pursuant to 35 U.S.C. § 103, the variations disclosed herein would have been obvious to a person having ordinary skill in visual system diagnostics and computational neuroscience at the time of invention, as demonstrated by the systematic integration of visual characterization techniques from US Patent 11857254 with contemporary machine learning, blockchain, and IoT technologies, representing a predictable technological evolution with no inventive leap beyond the existing prior art.

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