Enhanced Synergistic Combinations Technical Implementation

Publication ID: 24-11858122_0008_PTD

Published: October 29, 2025

Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Enhanced Synergistic Combinations Technical Implementation,” Published Technical Disclosure No. 24-11858122_0008_PTD, Published October 29, 2025, available at https://archive.pr1or.art/24-11858122_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. 11,858,122.

Summary of the Inventive Concept

An improved approach to synergistic combinations that builds upon the source patent's technical foundation.

Background and Problem Solved

The source patent addresses core functionality, but synergistic combinations presents opportunities for technical enhancement and expansion.

Detailed Description of the Inventive Concept

A comprehensive technical system that implements synergistic combinations 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 synergistic combinations 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 synergistic combinations enhancements.

CPC Classifications

Section	Class	Group
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

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Robotics, Computer Vision, and Automated Inspection Systems with a focus on industrial facility monitoring and gas leak detection technologies

Person of Ordinary Skill (PHOSITA) Profile

A skilled robotics engineer with expertise in computer vision, sensor integration, machine learning, and industrial automation, holding advanced degrees in robotics, electrical engineering, or computer science with 3-5 years of practical experience in autonomous robotic systems

Obviousness Rationale

A PHOSITA would recognize that the PTD's synergistic combinations represent predictable technical extensions of the source patent's robotic inspection framework. The disclosed variations leverage known techniques in sensor integration, machine learning, and robotic system design to enhance gas leak detection methodologies. These improvements would be considered routine optimization and design modifications within the standard problem-solving approach of a skilled practitioner in robotic inspection technologies.

Obvious Combinations & Variations

Source Patent Element

Robot system with optical gas imaging (OGI) and RGB cameras for gas leak detection

PTD Variation

Enhanced sensor fusion techniques integrating additional spectral analysis and multi-modal imaging approaches

Obviousness Reasoning

Combining imaging modalities is a known technique for improving detection accuracy, representing a predictable result of applying standard sensor integration principles

Source Patent Element

Convolutional neural network (CNN) for gas leak classification

PTD Variation

Advanced machine learning architectures with improved feature extraction and multi-stage classification algorithms

Obviousness Reasoning

Iterative improvement of neural network architectures is a standard practice in machine learning, representing an obvious technical progression for a skilled practitioner

Source Patent Element

Database-driven historical image comparison for leak detection

PTD Variation

Distributed cloud-based image storage and real-time comparative analysis with enhanced metadata tagging

Obviousness Reasoning

Extending database technologies to improve image retrieval and comparison is a predictable solution using known cloud computing and data management techniques

Source Patent Element

Ground-based robotic inspection system

PTD Variation

Modular robotic platform design allowing dynamic sensor reconfiguration and multi-environment adaptability

Obviousness Reasoning

Creating flexible robotic architectures is a standard design approach in robotics engineering, representing an obvious extension of existing system capabilities

Source Patent Element

Gas leak detection using computer vision techniques

PTD Variation

Enhanced anomaly detection algorithms incorporating temporal and spatial analysis with probabilistic inference models

Obviousness Reasoning

Improving detection algorithms through advanced statistical and machine learning techniques is a routine optimization approach for skilled practitioners

35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11858122 and the comprehensive technical disclosure herein, a person of ordinary skill in the art would find the claimed variations obvious and anticipated, as the disclosed synergistic combinations represent predictable technical extensions employing standard engineering problem-solving techniques within the established technological framework of robotic inspection and gas leak detection systems.

Original Patent Information

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