Published Technical Disclosure Archive

Next-Generation Non-Contact Eye Examination System

Publication ID: 24-11857259_0005_PTD
Published: November 07, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Next-Generation Non-Contact Eye Examination System,” Published Technical Disclosure No. 24-11857259_0005_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857259_0005_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 futuristic eye examination system utilizing AI, machine learning, and advanced optics to provide personalized vision care and treatment plans, revolutionizing the field of ophthalmology.

Background and Problem Solved

The original patent addressed the need for convenient and cost-effective eye examinations, but it had limitations in terms of accuracy, portability, and personalized treatment. The new inventive concept overcomes these limitations by integrating AI, machine learning, and advanced optics to provide real-time analysis, personalized recommendations, and customized treatment plans.

Detailed Description of the Inventive Concept

The next-generation eye examination system consists of a portable housing with a retractable aperture, a high-resolution camera, and a micro-electromechanical systems (MEMS) mirror for precise optical alignment. The system utilizes artificial intelligence for real-time analysis and personalized recommendations, and incorporates a machine learning algorithm to analyze eye data and predict potential vision problems. The system also includes a wearable device with an embedded camera and micro-sensors, a cloud-based data analysis platform, and a virtual reality interface for immersive vision therapy.

Novelty and Inventive Step

The new claims introduce the use of AI, machine learning, and advanced optics to provide personalized vision care and treatment plans, which is a significant departure from the original patent's focus on non-contact eye examination. The integration of these technologies enables real-time analysis, precise optical alignment, and customized treatment plans, making the new inventive concept novel and non-obvious.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of different AI algorithms, varying types of sensors, or alternative virtual reality interfaces. The system could also be adapted for use in different settings, such as clinics, hospitals, or even homes.

Potential Commercial Applications and Market

The next-generation eye examination system has significant commercial potential in the ophthalmology industry, with potential applications in clinics, hospitals, and private practices. The system's ability to provide personalized vision care and treatment plans could also lead to partnerships with insurance companies and vision correction providers.

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

Ophthalmological diagnostic technologies, specifically non-contact eye examination systems involving optical measurement, imaging, and data analysis techniques

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or optical systems specialist with expertise in medical imaging, sensor technologies, machine learning applications in diagnostic systems, and advanced optical measurement techniques

Obviousness Rationale

A person skilled in the art would recognize that integrating artificial intelligence and machine learning into non-contact eye examination systems represents a predictable technological evolution given the existing optical tracking and measurement capabilities disclosed in the source patent. The fundamental non-contact examination framework provides a natural foundation for advanced data analysis and personalized diagnostic approaches. The technical elements required for such an enhancement are readily available and would be considered an obvious combination of known techniques in medical diagnostic technologies.

Obvious Combinations & Variations

Source Patent Element
Optical system with Lidar device for non-contact eye tracking and distance measurement
PTD Variation
Adding AI-powered real-time analysis and personalized recommendations using the same optical tracking infrastructure
Obviousness Reasoning
Applying machine learning to existing sensor data represents a known technique for enhancing diagnostic capabilities, with predictable results of improved diagnostic accuracy
Source Patent Element
Non-contact eye examination method using automated optical measurements
PTD Variation
Incorporating cloud-based data analysis platform and virtual reality interface for treatment visualization
Obviousness Reasoning
Extending diagnostic systems with data storage and immersive visualization technologies is a standard approach in medical technology development
Source Patent Element
Housing-based eye measurement system with camera and optical components
PTD Variation
Introducing MEMS mirror for precise optical alignment and micro-sensor integration
Obviousness Reasoning
Enhancing optical precision through advanced micro-electromechanical systems represents a predictable technological improvement within the existing system architecture
Source Patent Element
Automated eye tracking and measurement techniques
PTD Variation
Implementing genetic algorithms for customized lens design and 3D printing fabrication
Obviousness Reasoning
Applying computational optimization techniques to personalize medical devices is a known approach with expected incremental innovation potential
35 U.S.C. § 103 Summary: Based on the comprehensive disclosure of US 11857259 and the present technical publication, a person having ordinary skill in the art would find the proposed variations in non-contact eye examination systems to be obvious modifications that represent predictable technological extensions of existing optical measurement and diagnostic methodologies. The integration of artificial intelligence, machine learning, and advanced optical technologies into the established non-contact examination framework does not rise to the level of non-obvious invention, and therefore constitutes prior art capable of rendering subsequent similar claims obvious.

Original Patent Information

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