Synergistic Imaging Element Cleaning Systems

Publication ID: 24-11857382_0008_PTD
Published: October 28, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Synergistic Imaging Element Cleaning Systems,” Published Technical Disclosure No. 24-11857382_0008_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857382_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. 11,857,382.

Summary of the Inventive Concept

The present inventive concept integrates the patented imaging element cleaning apparatus with cutting-edge technologies such as AI, IoT, blockchain, and new materials to create a more powerful, efficient, and connected system for facilitating cleaning of imaging elements in medical devices.

Background and Problem Solved

The original patent disclosed devices, apparatuses, systems, and methods for facilitating cleaning of an imaging element of an imaging device. However, these solutions were limited by their standalone nature, lacking integration with other technologies that could enhance their performance, reliability, and maintainability. The present inventive concept addresses this limitation by combining the patented imaging element cleaning apparatus with other distinct technologies to create a more comprehensive and effective system.

Detailed Description of the Inventive Concept

The synergistic imaging element cleaning system comprises the patented imaging element cleaning apparatus, a machine learning model for detecting contaminants on the imaging element, and a control unit for controlling the imaging element cleaning apparatus based on output from the machine learning model. Additionally, the system may include an IoT-enabled sensor for monitoring environmental conditions affecting the imaging element, a blockchain-based data storage system for tracking cleaning operations and maintenance schedules, and a cloud-based data analytics platform for analyzing sensor data and providing predictive maintenance recommendations. The system may also utilize energy harvesting systems powered by piezoelectric materials to power the rotational movement actuator. Furthermore, the system can integrate with robotic surgical systems and utilize AI-powered optimization methods to analyze data from the imaging element cleaning apparatus and generate recommendations for optimizing cleaning protocols and schedules.

Novelty and Inventive Step

The present inventive concept is novel and non-obvious in its integration of the patented imaging element cleaning apparatus with AI, IoT, blockchain, and new materials, providing a synergistic system that is more powerful, efficient, and connected than the original patent. The inventive step lies in the unexpected combination of these technologies to create a more comprehensive and effective system for facilitating cleaning of imaging elements in medical devices.

Alternative Embodiments and Variations

Alternative embodiments of the synergistic imaging element cleaning system may include variations in the type of AI model used, the specific IoT-enabled sensors employed, the blockchain-based data storage system utilized, and the energy harvesting system powering the rotational movement actuator. Additionally, the system may be adapted for use in different medical devices, such as endoscopes, microscopes, or ultrasound machines.

Potential Commercial Applications and Market

The synergistic imaging element cleaning system has significant commercial potential in the medical device industry, particularly in the fields of surgical robotics, endoscopy, and microscopy. The system's ability to provide real-time monitoring, predictive maintenance, and optimized cleaning protocols can improve the reliability and efficiency of medical devices, reducing downtime and costs for healthcare providers. The market for such a system is substantial, with an estimated value of over $1 billion in the next five years.

CPC Classifications

SectionClassGroup
A A61 A61B90/70
A A61 A61B34/30

Field of Art

Medical device imaging systems, specifically surgical endoscopic and imaging element cleaning technologies, requiring expertise in mechanical engineering, medical device design, and advanced sensor/control systems

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer with advanced degree, 3-5 years experience in medical device design, familiar with surgical imaging technologies, control systems, and emerging integration techniques for medical instrumentation

Obviousness Rationale

A PHOSITA would recognize that integrating machine learning, IoT sensors, and data analytics with existing surgical imaging cleaning apparatuses represents a predictable technological evolution. The source patent establishes a foundational imaging element cleaning system, and the PTD demonstrates standard engineering approaches to enhancing such systems with contemporary digital technologies. The combinations represent logical extensions of existing technological capabilities within medical device engineering.

Obvious Combinations & Variations

Source Patent Element
Surgical system attachment body for imaging element cleaning apparatus
PTD Variation
Integrating blockchain tracking and IoT sensor monitoring for maintenance schedules
Obviousness Reasoning
Predictable application of digital tracking technologies to existing medical device maintenance protocols, representing a known technique for improving system reliability and documentation
Source Patent Element
Rotational movement imparting portion of cleaning apparatus
PTD Variation
Powering rotational actuator using piezoelectric energy harvesting systems
Obviousness Reasoning
Known alternative power generation technique in medical devices, representing a straightforward design optimization with expected results
Source Patent Element
Imaging element cleaning methodology
PTD Variation
Machine learning model for detecting contaminants and dynamically controlling cleaning apparatus
Obviousness Reasoning
Applying machine learning to sensor-based detection represents a standard engineering approach to system optimization, utilizing well-established AI integration techniques
Source Patent Element
Surgical imaging system attachment mechanisms
PTD Variation
Robotic surgical system integration with AI-powered cleaning protocol optimization
Obviousness Reasoning
Logical extension of existing attachment technologies, representing a predictable combination of surgical robotics and intelligent maintenance systems
35 U.S.C. § 103 Summary: Based on US Patent 11857382's foundational imaging element cleaning apparatus teachings, the present publication demonstrates that a person having ordinary skill in the art would find the disclosed technological integrations obvious and predictable. The combinations of machine learning, IoT sensors, blockchain tracking, and energy harvesting represent standard engineering approaches to enhancing existing medical device technologies, thereby rendering potential derivative claims obvious and non-patentable.

Original Patent Information

Patent NumberUS 11,857,382
TitleDevices, apparatuses, systems and methods for facilitating cleaning of an imaging element of an imaging device
Assignee(s)ClearCam, Inc.