Endoscope Channel Abnormality Detection via AI Image Analysis
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Solution Overview
Problem
Endoscopes with channels require costly replacement of components when water or contaminants enter, leading to the need for early detection of channel abnormalities.
Innovation Solution
An information processing device that includes an inspection image acquisition unit, a determination acquisition unit, and an output unit, which uses a model to predict the state of the endoscope channel based on inspection images and outputs the prediction for early abnormality detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If inspection is performed manually without automated analysis, then device complexity is reduced, but measurement precision and detection capability deteriorate
Solution Approach 1:
An automated analysis device serves as an intermediary between the inspection endoscope and the determination unit. This intermediary automatically processes inspection images to generate determination data, thereby improving measurement precision while managing system complexity through specialized modular components rather than requiring complex integrated systems
Solution Approach 2:
The patent replaces manual mechanical inspection processes with automated image analysis. The automated analysis device captures inspection images and uses computational algorithms to determine channel abnormalities, substituting human visual inspection with automated optical and computational systems to enhance detection accuracy
2Reliability
If early detection of channel abnormalities is implemented, then maintenance cost is reduced, but inspection frequency and time requirements increase
Solution Approach 1:
The system performs preliminary automated analysis of inspection images to detect channel abnormalities before they lead to failures. By conducting determination processing during routine inspections rather than waiting for failure symptoms, the system enables early intervention and maintenance planning, improving reliability while managing time through efficient automated processing
Solution Approach 2:
The inspection system creates visual copies (images) of the channel interior that can be analyzed without physically disturbing or blocking the channel. These image copies allow thorough inspection without requiring repeated physical access or extending inspection time, as multiple analysis perspectives can be generated from single image captures
Data Source
AI summary
To provide an information processing device or the like capable of finding channel abnormality early. An information processing device includes: an inspection image acquisition unit configured to acquire an inspection image captured by an inspection endoscope inserted into a channel of an inspection target endoscope; a determination acquisition unit configured to input the inspection image acquired by the inspection image acquisition unit to a model that outputs a determination prediction regarding a state of the channel when the inspection image is input, and to acquire the determination prediction to be output; and an output unit configured to output the inspection image and the determination prediction in association.