Published Technical Disclosure Archive

Enhanced New Applications & Use Cases Technical Implementation

Publication ID: 24-11858419_0002_PTD
Published: October 30, 2025
Category:New Applications & Use Cases

Legal Citation

pr1or.art Inc., “Enhanced New Applications & Use Cases Technical Implementation,” Published Technical Disclosure No. 24-11858419_0002_PTD, Published October 30, 2025, available at https://archive.pr1or.art/24-11858419_0002_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. 11,858,419.

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.

Field of Art

Intelligent transportation technologies, computer vision-based driver monitoring systems, with expertise in human-machine interaction, video analysis, and fatigue detection algorithms

Person of Ordinary Skill (PHOSITA) Profile

A skilled engineer with advanced knowledge in computer vision, machine learning, automotive safety systems, and human behavior analysis, capable of integrating sensor technologies and developing adaptive monitoring solutions

Obviousness Rationale

A person skilled in the art would recognize that the PTD's disclosed variations represent predictable extensions of the source patent's core computer vision-based fatigue monitoring framework. The technical improvements align with standard engineering practices of iterative system enhancement and application expansion. The PTD demonstrates how a skilled practitioner could readily adapt the original patent's core methodology to new use cases without requiring inventive complexity.

Obvious Combinations & Variations

Source Patent Element
Fatigue real-time monitoring system using video recording and skeletal node recognition
PTD Variation
Enhanced computer vision algorithms for broader application domains beyond driving fatigue
Obviousness Reasoning
Applying computer vision skeletal tracking techniques to new monitoring contexts represents a known technique with predictable results in human-machine interaction systems
Source Patent Element
Driver posture analysis for fatigue detection
PTD Variation
Extending posture recognition to multiple human activity monitoring scenarios
Obviousness Reasoning
Transferring computer vision posture recognition across different monitoring contexts is an obvious design choice with well-understood implementation strategies
Source Patent Element
Four-level fatigue classification system
PTD Variation
Adaptive multi-level classification approach for different human performance monitoring environments
Obviousness Reasoning
Generalizing a classification framework across different monitoring domains represents a standard engineering approach with predictable technological outcomes
Source Patent Element
Video-based real-time monitoring system
PTD Variation
Integration of additional sensor modalities and machine learning techniques
Obviousness Reasoning
Expanding sensor fusion and machine learning techniques in monitoring systems is a routine technological progression for skilled practitioners
Source Patent Element
Computer vision-based tracking and analysis system
PTD Variation
Implementation of advanced machine learning models for enhanced recognition accuracy
Obviousness Reasoning
Applying state-of-the-art machine learning techniques to improve computer vision systems represents an obvious technological enhancement
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11858419 and the disclosed technical variations, a person having ordinary skill in the art would find the claimed subject matter obvious, as the PTD demonstrates straightforward technological extensions that would be readily conceived by a skilled practitioner without requiring inventive complexity or unexpected results.

Original Patent Information

Patent NumberUS 11,858,419
TitleFatigue driving monitoring, reminding and early-warning method and system based on computer vision
Assignee(s)XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY, TIANJIN CHENGJIAN UNIVERSITY