Enhanced Apparatus and Method for Automated Non-Contact Eye Examination

Publication ID: 24-11857259_0006_PTD
Published: November 07, 2025
Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Enhanced Apparatus and Method for Automated Non-Contact Eye Examination,” Published Technical Disclosure No. 24-11857259_0006_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857259_0006_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

An advanced system for automated non-contact eye examination, featuring enhanced disinfection, real-time tracking, and improved diagnosis capabilities, addressing the limitations of existing eye examination methods.

Background and Problem Solved

The original patent disclosed an apparatus and method for automated non-contact eye examination, but it had limitations in terms of disinfection, accuracy, and diagnosis capabilities. The new inventive concept addresses these limitations by introducing a housing designed for easy disinfection, a Lidar device for real-time eye tracking, and a machine learning-based algorithm for improved diagnosis.

Detailed Description of the Inventive Concept

The enhanced apparatus comprises a housing with an aperture for providing light to and from one or both eyes of a patient, designed for easy disinfection and conforming to 3A sanitary standards. The system features a computer system configured to analyze optical measurements of the eye and provide a diagnosis within 5 minutes. The method utilizes a Lidar device to track the eye movement and adjust the optical system in real-time, ensuring accurate optical measurements. Additionally, the apparatus can be portable, powered by a rechargeable battery, and perform an eye examination in a remote location. The system also incorporates a machine learning-based algorithm to analyze the optical measurements and detect potential eye diseases, such as cataracts or glaucoma.

Novelty and Inventive Step

The new inventive concept introduces several novel features, including the easy-to-disinfect housing, real-time eye tracking using a Lidar device, and a machine learning-based algorithm for improved diagnosis. These features provide a significant improvement over the original patent, offering enhanced accuracy, speed, and disease detection capabilities.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of different types of sensors, such as optical coherence tomography (OCT) or ultrasound, to enhance the accuracy of the optical measurements. Additionally, the system could be integrated with electronic health records (EHRs) to facilitate seamless data transfer and improve patient care.

Potential Commercial Applications and Market

The enhanced apparatus and method for automated non-contact eye examination have significant commercial potential in the healthcare industry, particularly in the areas of optometry, ophthalmology, and telemedicine. The system's portability and ease of use make it ideal for remote or rural locations, where access to eye care services may be limited.

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 measurement systems involving optical sensing, tracking, and diagnostic analysis

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or optical systems specialist with expertise in medical imaging, computer vision, sensor technologies, and diagnostic algorithm development, holding advanced degrees in bioengineering, optics, or medical technology with 3-5 years professional experience

Obviousness Rationale

A person having ordinary skill would recognize that the published technical disclosure represents predictable variations and incremental improvements to the source patent's non-contact eye examination apparatus, utilizing known techniques in sensor integration, machine learning, and diagnostic system design to enhance functionality and diagnostic capabilities.

Obvious Combinations & Variations

Source Patent Element
Optical system with Lidar device for non-contact eye tracking and measurement
PTD Variation
Adding machine learning algorithm for automated disease detection and real-time diagnostic analysis
Obviousness Reasoning
Applying machine learning to medical imaging is a known technique for enhancing diagnostic accuracy, representing an obvious extension of existing sensor-based measurement technologies
Source Patent Element
Housing-based eye measurement system
PTD Variation
Implementing 3A sanitary standards and designing for easy disinfection
Obviousness Reasoning
Improving medical device hygiene is a predictable design optimization driven by standard infection control practices in medical technology
Source Patent Element
Non-contact optical measurement method
PTD Variation
Incorporating portable battery-powered design for remote examination capabilities
Obviousness Reasoning
Miniaturization and portability are standard evolutionary paths for medical diagnostic technologies, representing an obvious design choice for increased accessibility
Source Patent Element
Automated eye tracking using Lidar
PTD Variation
Real-time optical system adjustment and dynamic tracking of eye movement
Obviousness Reasoning
Implementing closed-loop feedback mechanisms for sensor systems is a well-established technique for improving measurement precision and tracking performance
Source Patent Element
Single-modality optical measurement
PTD Variation
Combining optical and acoustic measurement techniques for comprehensive diagnostic assessment
Obviousness Reasoning
Multimodal diagnostic approaches are a known strategy for increasing diagnostic sensitivity and comprehensiveness in medical imaging technologies
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857259, a person having ordinary skill in the art would find the variations disclosed herein to be obvious extensions of the prior art, representing predictable combinations of known techniques in non-contact eye examination technologies, thereby rendering potential patent claims covering similar technical implementations 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