Endoscope Reprocessor Positioning Detection Using Multi-Angle Imaging
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Solution Overview
Problem
Existing endoscope reprocessors lack an effective method to determine if the endoscope is appropriately positioned for correct reprocessing, which can lead to improper coverage by medicinal solutions.
Innovation Solution
A control apparatus and method that acquires multiple observation images from different angles to determine if a predetermined part of the endoscope is within a specified range, using image processing and neural networks to assess the positioning state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single detection sensor is used to determine endoscope positioning, then the device complexity is reduced, but the measurement precision and reliability of positioning determination deteriorates
Solution Approach 1:
The detection system is segmented into multiple independent optical sensors (first detection sensor and second detection sensor) positioned at different locations. Each sensor detects positioning information independently, and the control unit integrates these multiple detection results to determine the final positioning state, thereby improving measurement precision while maintaining manageable device complexity
Solution Approach 2:
Multiple detection sensors are nested within the treatment tank structure, with each sensor positioned to detect specific aspects of endoscope positioning. The sensors are integrated into the tank walls or bottom, creating a layered detection system that provides comprehensive positioning information without adding external complexity
2Measurement precision
If multiple detection sensors are added to improve positioning accuracy, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The multiple detection sensors serve universal functions: each sensor can detect both the presence and positioning state of the endoscope. The control unit processes signals from all sensors using a unified algorithm, making the system multi-functional without proportionally increasing complexity. The same sensor type is used in multiple locations, reducing the need for different specialized components
Data Source
AI summary
A control unit of a reprocessor main body includes a processor, the processor being configured to acquire a plurality of observation images, image pickup angles of which regarding a positioning state of an endoscope positioned in an endoscope reprocessor are different, select an image showing a first part that is a predetermined part inside the endoscope reprocessor and a second part that is a predetermined part of the endoscope, and determine whether the second part is included in a predetermined range from the first part.