Adaptive Guidance Systems for Diverse Industries
Legal Citation
Summary of the Inventive Concept
The present inventive concept extends the core technology of computer-aided guidance to new applications, enabling precise decision-making and optimized outcomes in water quality monitoring, precision agriculture, wildfire detection, energy efficiency, and air quality control.
Background and Problem Solved
The original patent focused on computer-aided surgery, but its limitations in addressing complex procedures and alignment jigs can be overcome by applying the core technology to other fields. The new inventive concept addresses the need for data-driven guidance in diverse industries, where real-time analysis and recommendations are crucial for optimal results.
Detailed Description of the Inventive Concept
The new inventive concept comprises a computer-aided analysis module that utilizes machine learning algorithms to analyze real-time data from various sensors and sources. This module is paired with a guidance module that provides recommendations for corrective actions or optimized strategies based on the analysis. The system can be adapted to different industries, such as monitoring water quality, optimizing crop yields, detecting wildfires, enhancing energy efficiency, or controlling air quality. The core technology is modified to accommodate the specific requirements of each industry, ensuring accurate and reliable guidance.
Novelty and Inventive Step
The new claims introduce a novel application of computer-aided guidance, extending the original patent's concept to diverse industries. The inventive step lies in the adaptation of machine learning algorithms and real-time data analysis to provide industry-specific guidance, overcoming the limitations of the original patent.
Alternative Embodiments and Variations
Alternative embodiments may include integrating the computer-aided analysis module with existing industry-specific software, utilizing different machine learning algorithms for specific industries, or incorporating additional sensors or data sources to enhance the accuracy of the guidance. Variations may also include developing specialized guidance modules for specific industries or creating a modular system that can be easily adapted to new industries.
Potential Commercial Applications and Market
The new inventive concept has significant commercial potential in various industries, including water quality monitoring, precision agriculture, wildfire detection, energy efficiency, and air quality control. The market for adaptive guidance systems is substantial, with potential customers including government agencies, private companies, and research institutions seeking to optimize their operations and decision-making processes.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A61 | A61B34/10 |
| A | A61 | A61B17/142 |
| A | A61 | A61B17/15 |
| A | A61 | A61B17/154 |
| A | A61 | A61B17/1675 |
| A | A61 | A61B17/1703 |
| A | A61 | A61B17/1764 |
| A | A61 | A61B34/20 |
| A | A61 | A61B34/30 |
| A | A61 | A61B90/11 |
| A | A61 | A61B90/36 |
| A | A61 | A61B17/1626 |
| A | A61 | A61B34/25 |
| A | A61 | A61B90/90 |
| A | A61 | A61B2017/00026 |
| A | A61 | A61B2017/00199 |
| A | A61 | A61B2017/00212 |
| A | A61 | A61B2017/00221 |
| A | A61 | A61B2017/00725 |
| A | A61 | A61B2017/320052 |
| A | A61 | A61B2034/101 |
| A | A61 | A61B2034/102 |
| A | A61 | A61B2034/104 |
| A | A61 | A61B2034/105 |
| A | A61 | A61B2034/107 |
| A | A61 | A61B2034/108 |
| A | A61 | A61B2034/2055 |
| A | A61 | A61B2034/2068 |
| A | A61 | A61B2034/2072 |
| A | A61 | A61B2034/254 |
| A | A61 | A61B2034/256 |
| A | A61 | A61B2034/258 |
| A | A61 | A61B2090/061 |
| A | A61 | A61B2090/065 |
| A | A61 | A61B2090/0812 |
| A | A61 | A61B2090/365 |
| A | A61 | A61B2090/367 |
| A | A61 | A61B2090/372 |
| A | A61 | A61B2090/395 |
| A | A61 | A61B2090/3937 |
| A | A61 | A61F2002/4632 |
| A | A61 | A61F2002/4633 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Computer-assisted guidance systems with emphasis on medical and industrial applications involving 3D spatial analysis, machine learning, and real-time sensor data processing
Person of Ordinary Skill (PHOSITA) Profile
A skilled practitioner with expertise in computer vision, machine learning algorithms, sensor integration, and domain-specific guidance systems, typically holding a graduate degree in engineering, computer science, or biomedical technologies
Obviousness Rationale
The PTD demonstrates a predictable extension of the source patent's core guidance technology by applying its fundamental 3D representation and machine learning principles to diverse industrial contexts. A PHOSITA would recognize the fundamental similarity in creating spatial representations, analyzing real-time data, and providing dynamic guidance across different technical domains. The systematic approach of generating 3D models, analyzing sensor data, and generating actionable recommendations represents a transferable technological framework that can be readily adapted to multiple industries.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,265 |
|---|---|
| Title | Method and apparatus for computer aided surgery |
| Assignee(s) | Board of Regents of the University of Nebraska |