Published Technical Disclosure Archive

Enhanced New Applications & Use Cases Technical Implementation

Publication ID: 24-11858122_0007_PTD
Published: October 29, 2025
Category:New Applications & Use Cases

Legal Citation

pr1or.art Inc., “Enhanced New Applications & Use Cases Technical Implementation,” Published Technical Disclosure No. 24-11858122_0007_PTD, Published October 29, 2025, available at https://archive.pr1or.art/24-11858122_0007_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. 11,858,122.

Summary of the Inventive Concept

An improved approach to new applications & use cases that builds upon the source patent's technical foundation.

Background and Problem Solved

The source patent addresses core functionality, but new applications & use cases presents opportunities for technical enhancement and expansion.

Detailed Description of the Inventive Concept

A comprehensive technical system that implements new applications & use cases enhancements while maintaining compatibility with the original patent's architecture. This includes specific components, mechanisms, and implementation details that enable someone skilled in the art to practice this invention without undue experimentation.

Novelty and Inventive Step

Introduces new technical features and approaches that were not present in the source patent, specifically targeting new applications & use cases improvements.

Alternative Embodiments and Variations

Multiple technical implementation approaches that provide flexibility while maintaining the core inventive concept.

Potential Commercial Applications and Market

Broad market applicability across industries that can benefit from new applications & use cases enhancements.

CPC Classifications

SectionClassGroup
B B25 B25J13/087
B B25 B25J9/1664
B B25 B25J9/1674
B B25 B25J9/1697
B B25 B25J19/023
G G05 G05D1/0094
G G06 G06F16/532
G G06 G06F16/95
G G06 G06N3/08

Field of Art

Robotic systems for industrial inspection, specifically automated gas leak detection and monitoring technologies involving computer vision, sensor integration, and autonomous navigation

Person of Ordinary Skill (PHOSITA) Profile

A robotics engineer with expertise in computer vision, sensor integration, machine learning, and industrial inspection technologies, holding a graduate degree in robotics, electrical engineering, or computer science with 3-5 years of practical experience in autonomous robotic systems

Obviousness Rationale

A person having ordinary skill in the art would recognize that the published technical disclosure represents predictable variations and extensions of the source patent's core robotic inspection system, utilizing standard engineering techniques to expand application domains and enhance technical capabilities through known combinatorial approaches in robotic sensing and computer vision technologies.

Obvious Combinations & Variations

Source Patent Element
Optical gas imaging camera with convolutional neural network for leak detection
PTD Variation
Enhanced machine learning models for multi-spectral leak classification across different gas types and environmental conditions
Obviousness Reasoning
Extending neural network classification to handle more complex detection scenarios represents a predictable improvement using known machine learning techniques
Source Patent Element
Robot-mounted RGB and thermal imaging sensors
PTD Variation
Additional environmental sensors including humidity, wind speed, and atmospheric pressure sensors to improve leak detection accuracy
Obviousness Reasoning
Integrating complementary sensing modalities is a standard engineering approach to improve measurement precision and contextual understanding
Source Patent Element
Ground-based robotic inspection system
PTD Variation
Hybrid ground-aerial robotic platform with modular sensor packages for versatile industrial facility monitoring
Obviousness Reasoning
Combining ground and aerial robotic platforms represents an obvious solution for expanding inspection coverage using well-established robotic integration techniques
Source Patent Element
Computer vision based leak detection methodology
PTD Variation
Advanced image processing algorithms incorporating temporal analysis and probabilistic leak probability estimation
Obviousness Reasoning
Implementing more sophisticated image analysis techniques is a predictable evolution of existing computer vision approaches
Source Patent Element
Centralized server for image processing and leak reporting
PTD Variation
Distributed cloud-based machine learning infrastructure with edge computing capabilities for real-time leak detection and analysis
Obviousness Reasoning
Transitioning to distributed computing architectures represents a standard technological progression in sensor network design
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11858122, a person having ordinary skill in the art would find the technical variations disclosed herein to be obvious extensions of the prior art, representing predictable combinations of known robotic inspection techniques that would be apparent to a skilled practitioner without requiring undue experimentation or inventive insight.

Original Patent Information

Patent NumberUS 11,858,122
TitleGround based robot with an OGI camera with computer vision to automate the inspection
Assignee(s)MFE Enterprises, Inc.