Published Technical Disclosure Archive

Intelligent Automated Non-Contact Eye Examination System

Publication ID: 24-11857259_0008_PTD
Published: November 07, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Intelligent Automated Non-Contact Eye Examination System,” Published Technical Disclosure No. 24-11857259_0008_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857259_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. 11,857,259.

Summary of the Inventive Concept

A synergistic system integrating AI, IoT, and blockchain technologies with automated non-contact eye examination, enabling secure, decentralized, and transparent patient data management, real-time image analysis, and remote diagnosis.

Background and Problem Solved

The original patent, 'Apparatus and method for automated non-contact eye examination', addressed the limitations of traditional eye examination methods, including inconvenience, lack of transportation, and high costs. However, it did not provide a comprehensive solution for secure patient data management, remote diagnosis, and real-time image analysis. The new inventive concept solves these problems by integrating AI, IoT, and blockchain technologies to create a more powerful and efficient system.

Detailed Description of the Inventive Concept

The Intelligent Automated Non-Contact Eye Examination System consists of an IoT-enabled housing with a smooth, disinfectable surface conforming to 3A sanitary standards, a blockchain-based patient data management module for secure and decentralized storage of patient records, and an AI-powered optical system for real-time image analysis and eye tracking. The system utilizes a Lidar device for distance measurement and eye tracking, a machine learning-based algorithm for real-time analysis of eye movement patterns, and a blockchain-based data storage system for secure and transparent storage of patient data. The AI module is trained on a dataset of eye examination images and outputs a predictive model for detecting eye diseases. The system enables remote, AI-assisted eye examination through a cloud-based AI module for real-time image analysis and diagnosis.

Novelty and Inventive Step

The new inventive concept's novelty lies in the synergistic integration of AI, IoT, and blockchain technologies with automated non-contact eye examination, enabling secure, decentralized, and transparent patient data management, real-time image analysis, and remote diagnosis. The inventive step is the combination of these distinct technologies to create a more powerful and efficient system.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include variations of the IoT-enabled housing, such as a portable or handheld device, or the use of different AI algorithms for image analysis and eye tracking. Additionally, the blockchain-based data storage system could be replaced with other secure and decentralized storage solutions.

Potential Commercial Applications and Market

The Intelligent Automated Non-Contact Eye Examination System has significant commercial potential in the healthcare industry, particularly in the fields of ophthalmology and optometry. The system's ability to enable remote, AI-assisted eye examination and secure patient data management makes it an attractive solution for healthcare providers, clinics, and hospitals.

CPC Classifications

SectionClassGroup
A A61 A61B3/113
A A61 A61B3/0008
A A61 A61B3/0025
A A61 A61B3/0041
A A61 A61B3/102
A A61 A61B3/103
A A61 A61B3/12
A A61 A61B3/135
A A61 A61B3/16
G G16 G16H40/67

Field of Art

Medical diagnostic imaging and ophthalmological examination technologies, specifically non-contact eye examination systems involving optical measurement, image analysis, and patient data management

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device technologist with expertise in optical systems, machine learning, IoT technologies, and healthcare data management, possessing knowledge of medical imaging, sensor technologies, and computational analysis techniques

Obviousness Rationale

A PHOSITA would recognize that integrating AI, blockchain, and IoT technologies into the existing non-contact eye examination framework represents a predictable technological evolution that combines known techniques to enhance system functionality, data security, and diagnostic capabilities. The source patent's foundational non-contact eye examination methodology provides a clear technological platform for implementing advanced computational and data management technologies. The proposed variations represent incremental improvements using standard engineering approaches to augment existing medical diagnostic technologies.

Obvious Combinations & Variations

Source Patent Element
Optical system with Lidar device for non-contact eye tracking and measurement
PTD Variation
Adding machine learning-based algorithm for real-time analysis of eye movement patterns
Obviousness Reasoning
Applying machine learning to existing optical tracking systems is a predictable enhancement that would be obvious to improve diagnostic precision and automated analysis capabilities
Source Patent Element
Non-contact eye examination method within a housing
PTD Variation
IoT-enabled housing with blockchain-based patient data management
Obviousness Reasoning
Integrating digital data management and connectivity technologies into medical diagnostic equipment represents a standard technological progression with expected improvements in data handling and patient record management
Source Patent Element
Automated optical measurement system
PTD Variation
Cloud-based AI module for real-time image analysis and remote diagnosis
Obviousness Reasoning
Extending local diagnostic capabilities to cloud-based computational analysis is a known technique in medical imaging that would be obvious to a PHOSITA seeking to improve diagnostic reach and computational power
Source Patent Element
Non-contact eye examination apparatus
PTD Variation
Blockchain-based secure and transparent storage of patient records
Obviousness Reasoning
Implementing blockchain for secure medical data management is a predictable solution addressing known challenges in healthcare data privacy and interoperability
Source Patent Element
Optical system with automated eye tracking
PTD Variation
AI module trained on eye examination images to output predictive disease detection model
Obviousness Reasoning
Applying machine learning techniques to medical imaging for predictive diagnostics represents a standard approach in developing more advanced diagnostic technologies
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857259 for non-contact eye examination methods, the present publication demonstrates that a person of ordinary skill in the art would find the integration of AI, blockchain, and IoT technologies into automated eye examination systems to be an obvious extension of existing technological capabilities, thereby rendering potential patent claims in this domain obvious and unpatentable under 35 U.S.C. Section 103.

Original Patent Information

Patent NumberUS 11,857,259
TitleApparatus and method for automated non-contact eye examination
Assignee(s)Scintellite, LLC