Endoscopic Image Analysis for Automatic Pressure and Flow Control
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Solution Overview
Problem
Current endoscopic systems rely on manual adjustments for pressure and flow control, which disrupt the procedure, require additional personnel, and often result in suboptimal image quality due to lack of real-time image analysis, leading to inefficiencies and potential complications.
Innovation Solution
An endoscopic system that incorporates an image analysis engine and control engine to analyze images in real-time, automatically adjusting medium management and other components to optimize image quality and procedural efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual adjustments are made to pressure and flow control, then the procedure can be performed with simple equipment, but the procedure rhythm is disrupted and additional personnel are required
Solution Approach 1:
The system automatically monitors image quality and adjusts pressure and flow parameters without requiring manual intervention. The endoscopic system performs self-adjustment based on real-time image analysis, eliminating the need for additional personnel to manually control pressure and flow during the procedure.
Solution Approach 2:
The system continuously analyzes endoscopic images and uses this feedback to automatically adjust pressure and flow parameters. The image quality metrics feed back to the control system, which modifies operational parameters in real-time to maintain optimal visualization without disrupting the procedure rhythm.
2Device complexity
If manual adjustments are made to pressure and flow, then equipment complexity is reduced, but image quality becomes suboptimal due to lack of real-time analysis
Solution Approach 1:
The system replaces manual mechanical adjustment with automated image analysis and electronic control. Instead of relying on operators to visually assess and manually adjust parameters, the system uses computer vision algorithms to analyze image quality and automatically controls pressure and flow through electronic actuators, achieving superior image quality while maintaining manageable system complexity.
Solution Approach 2:
The system dynamically changes pressure and flow parameters based on real-time image analysis. By continuously monitoring image quality metrics and adjusting operational parameters accordingly, the system maintains optimal image quality throughout the procedure without requiring complex manual intervention protocols.
3Ease of operation
If additional personnel are assigned to adjust pressure and flow, then manual control capability is enhanced, but resource consumption increases and sterile field contamination risk increases
Solution Approach 1:
The endoscopic system performs automatic pressure and flow adjustment without requiring additional personnel. The automated image analysis and control system handles parameter optimization independently, eliminating the need for extra staff members dedicated to manual adjustments and reducing the risk of sterile field contamination.
Solution Approach 2:
The system introduces an automated control system as an intermediary between image capture and parameter adjustment. This intermediary automatically analyzes image quality and adjusts operational parameters, replacing the need for human operators to perform manual adjustments and thereby reducing personnel resource consumption.
4Reliability
If pumps are used to control flow and pressure, then flow and pressure control is improved, but the system requires manual input and adjustments still interrupt procedure rhythm
Solution Approach 1:
The pump system is integrated with real-time image analysis that provides feedback on visualization quality. Based on this feedback, the system automatically adjusts pump operation to maintain optimal flow and pressure, eliminating the need for manual input while preserving reliable control. The continuous feedback loop ensures procedure continuity by automatically responding to changing conditions.
Solution Approach 2:
The pump system operates autonomously by receiving automatic commands from the image analysis system. Instead of requiring manual operation, the pump self-adjusts its performance based on real-time image quality assessment, maintaining reliable flow and pressure control while preserving procedure rhythm and eliminating interruptions.
Data Source
AI summary
Endoscopic image analysis, endoscopic procedure analysis, and/or component control systems, methods and techniques are disclosed that can analyze images of an endoscopic system and/or affect an endoscopic system to enhance operation, user and patient experience, and usability of image data and other case data.