Endoscopic Video Overlay With Real-Time Image Feedback Control
Find Innovative SolutionsGenerate Solutions
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 automated adjustments.
Innovation Solution
An endoscopic system that incorporates an image analysis engine to analyze images in real-time, allowing for automated control of components such as medium management and other instruments based on image characteristics, enhancing visualization and reducing 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 current systems, but the procedure rhythm is interrupted and attention is diverted from the procedure itself
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, allowing the procedure to continue uninterrupted while maintaining optimal visualization conditions
Solution Approach 2:
The system continuously analyzes images from the endoscope and uses this feedback to automatically adjust pressure and flow parameters. This closed-loop control ensures that the procedure maintains optimal image quality without requiring the surgical team to manually intervene, thereby preserving procedure rhythm and efficiency
2Ease of operation
If additional personnel are assigned to adjust pressure and flow, then manual adjustments can be made, but costs increase and potential contamination of sterile field increases
Solution Approach 1:
The endoscopic system autonomously monitors and adjusts pressure and flow parameters through automated image analysis, eliminating the need for additional personnel dedicated to these adjustment tasks. This reduces both staffing costs and the risk of sterile field contamination
Solution Approach 2:
The system replaces manual mechanical adjustment with automated electronic control based on real-time image analysis. The automated system uses algorithms to interpret image quality and adjust parameters, substituting human operators with an intelligent control system that reduces personnel requirements and contamination risks
3Manufacturing precision
If manual adjustments are made to optimize image quality, then visualization can be improved, but the procedure rhythm is interrupted and time is lost
Solution Approach 1:
The automated image analysis system operates continuously throughout the procedure, constantly monitoring image quality and making real-time adjustments to pressure and flow parameters. This eliminates interruptions and maintains continuous optimal visualization without losing procedure time
Solution Approach 2:
The system uses real-time feedback from continuous image analysis to dynamically adjust parameters, ensuring optimal image quality is maintained throughout the procedure without requiring periodic manual interventions that would interrupt the procedure rhythm and consume time
4Ease of operation
If pumps are used to control flow and pressure, then control is improved, but the system still requires manual input and does not respond quickly enough to dynamic changes
Solution Approach 1:
The system implements real-time feedback through continuous image analysis, allowing the pump to respond dynamically to changing surgical conditions. The automated system detects image quality changes and immediately adjusts flow and pressure parameters, achieving rapid response times that manual systems cannot match
Solution Approach 2:
The system replaces manual mechanical control with automated electronic control systems that process image data and adjust pump parameters electronically. This substitution enables much faster response times compared to manual adjustment, as the electronic system can detect and respond to changes instantaneously without human reaction time delays
Data Source
AI summary
Systems, methods and techniques are disclosed to reduce video latency in real-time endoscopic procedures when additional image analysis, artificial intelligence models, and other image processing are used. Real-time video and/or images can be mixed with overlay data generated by analysis of one or more images or frames of video. The video mixing functionality can be performed within one or more components of an endoscopic system, or can be in an external component. The composite output video can be sent to a primary display and one or more secondary displays, and can also be recorded for later use and improvement of functionality.