Published Technical Disclosure Archive

Markerless Navigation in Diverse Industries

Publication ID: 24-11857271_0007_PTD
Published: November 07, 2025
Category:New Applications & Use Cases

Legal Citation

pr1or.art Inc., “Markerless Navigation in Diverse Industries,” Published Technical Disclosure No. 24-11857271_0007_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857271_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. 11,857,271.

Summary of the Inventive Concept

Expanding the capabilities of markerless navigation using AI computer vision to novel applications in precision agriculture, warehouse inventory management, accessibility, manufacturing quality control, and livestock monitoring.

Background and Problem Solved

The original patent disclosed a markerless navigation system for robotic-assisted surgery, which, while innovative, was limited to the medical field. The new inventive concept addresses the need for accurate navigation and tracking in various industries, overcoming the limitations of traditional navigation methods.

Detailed Description of the Inventive Concept

The new inventive concept involves adapting the core technology of the original patent to diverse industries. In precision agriculture, the system enables autonomous farming equipment to track and guide crops. In warehouse inventory management, the technology monitors and optimizes inventory levels. For visually impaired individuals, the system enhances accessibility in public spaces. In manufacturing, the technology automates quality control by tracking and inspecting products. Lastly, in livestock monitoring, the system tracks and analyzes animal behavior. Each application leverages AI-driven computer vision to provide accurate, real-time navigation and tracking.

Novelty and Inventive Step

The new claims introduce novel applications of the markerless navigation technology, expanding its scope beyond the medical field. The inventive step lies in adapting the technology to address specific challenges in diverse industries, demonstrating a non-obvious and innovative approach.

Alternative Embodiments and Variations

Alternative embodiments may include integrating the markerless navigation technology with other sensors, such as GPS or lidar, to enhance accuracy. Variations could involve using different AI algorithms or computer vision techniques to improve performance in specific industries.

Potential Commercial Applications and Market

The new inventive concept has significant commercial potential across multiple industries, including agriculture, logistics, healthcare, manufacturing, and animal husbandry. The technology can be licensed or integrated into existing products, offering a competitive advantage in navigation and tracking capabilities.

CPC Classifications

SectionClassGroup
A A61 A61B34/20
A A61 A61B90/39
G G06 G06N3/08
G G06 G06T7/10
G G06 G06T7/74
A A61 A61B2034/2057
A A61 A61B2034/2065
A A61 A61B2090/3945
A A61 A61B2090/3983
G G06 G06T2207/20081
G G06 G06T2207/20084

Field of Art

Computer Vision, Artificial Intelligence, and Robotic Navigation Systems with expertise in multi-domain tracking and guidance technologies across medical, industrial, and agricultural applications

Person of Ordinary Skill (PHOSITA) Profile

A skilled professional with advanced degrees in computer science, robotics, or engineering, possessing deep knowledge of AI-driven computer vision, machine learning algorithms, sensor integration, and real-time tracking methodologies

Obviousness Rationale

A PHOSITA would recognize that the core AI computer vision navigation technology disclosed in the source patent represents a generalizable framework adaptable to multiple domain-specific tracking challenges. The fundamental principles of markerless object detection, segmentation, and real-time guidance are technically transferable across industries with predictable and incremental modifications. The PTD demonstrates standard technological expansion by applying known computer vision techniques to solve domain-specific navigation and tracking problems.

Obvious Combinations & Variations

Source Patent Element
AI-driven image segmentation and object tracking of body parts during surgical procedures
PTD Variation
Applying identical computer vision segmentation techniques to track agricultural equipment, warehouse inventory, and livestock
Obviousness Reasoning
A PHOSITA would recognize that object tracking algorithms are fundamentally consistent across domains, with minor contextual adaptations representing routine engineering design choices
Source Patent Element
Light beam projection and pixel sampling for contour detection
PTD Variation
Extending light beam and pixel sampling techniques to quality control manufacturing inspection processes
Obviousness Reasoning
Sensor-based detection methodologies are universally applicable, with performance optimization representing predictable technological progression
Source Patent Element
Real-time three-dimensional navigation using computer vision
PTD Variation
Implementing identical navigation principles for accessibility assistance and spatial guidance of visually impaired individuals
Obviousness Reasoning
Adaptive navigation technologies represent a known technique for translating core tracking algorithms into assistive technological solutions
Source Patent Element
AI computer vision for precise spatial registration
PTD Variation
Integrating additional sensor technologies like GPS and lidar to enhance tracking accuracy across different application domains
Obviousness Reasoning
Sensor fusion and multi-modal tracking represent standard engineering approaches for incrementally improving computer vision system performance
Source Patent Element
Markerless tracking of surgical objects and body parts
PTD Variation
Extending markerless tracking principles to monitor and analyze complex dynamic systems like production lines and animal behavior
Obviousness Reasoning
Generalized tracking methodologies can be systematically adapted to analyze movement and spatial relationships in diverse complex systems
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857271, a person having ordinary skill in the art would find the technical variations disclosed herein to be obvious extensions of known computer vision navigation technologies. The incremental domain-specific adaptations represent predictable applications of established AI-driven tracking methodologies, thereby rendering potential claims covering such variations unpatentable under 35 U.S.C. ยง 103.

Original Patent Information

Patent NumberUS 11,857,271
TitleMarkerless navigation using AI computer vision