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 can lead to suboptimal image quality and increased costs due to lack of real-time image analysis for feedback loops.
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 visualization and reduce manual intervention.
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 implements a closed-loop feedback mechanism where image quality is continuously analyzed and used to automatically adjust pressure and flow parameters. This feedback loop enables the system to maintain optimal visualization conditions without disrupting the procedure rhythm or requiring additional staff.
2Manufacturing precision
If manual adjustments are made to optimize image quality, then image quality can be improved, but additional personnel are required and costs increase
Solution Approach 1:
The endoscopic system automatically optimizes image quality through real-time image analysis and self-adjustment of pressure and flow parameters. This eliminates the need for additional personnel to manually optimize visualization, reducing both personnel requirements and associated costs while maintaining high image quality.
Solution Approach 2:
The system replaces manual mechanical adjustment with automated electronic control based on image analysis. The automated system substitutes human operators with an electronic feedback mechanism that continuously optimizes image quality without requiring additional personnel.
3Illumination intensity
If pressure and flow are manually adjusted, then visualization can be improved, but the procedure rhythm is disrupted and attention is diverted from the procedure
Solution Approach 1:
The system maintains continuous optimal visualization throughout the procedure by automatically adjusting pressure and flow parameters in real-time. This eliminates interruptions to the procedure rhythm and ensures continuous useful action without diverting attention from the surgical procedure.
Solution Approach 2:
The closed-loop feedback system continuously monitors image quality and makes real-time adjustments to maintain optimal visualization. This feedback mechanism ensures continuous useful action by preventing degradation of image quality without requiring manual intervention that would disrupt procedure continuity.
4Extent of automation
If automated image analysis is implemented, then real-time feedback is available for automatic adjustment, but system complexity increases
Solution Approach 1:
The system uses the existing endoscopic camera and display components for multiple functions: standard visualization and automated image quality analysis. By making the existing components multi-functional, the system achieves automated control without proportionally increasing overall system complexity.
Solution Approach 2:
The system introduces an intermediary image analysis layer that processes visual information already captured by the endoscope. This intermediary component adds automated control capability by analyzing existing image data rather than requiring entirely new sensing mechanisms, thereby limiting the increase in system complexity.
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.