Endoscope Image Correction Switching by Usage Count
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Solution Overview
Problem
Endoscope systems face challenges due to variations in pixel count and insertion length, leading to inconsistent image processing across different models, which are addressed by incorporating a first and second processor to manage image correction data based on usage count.
Innovation Solution
An endoscope system with a first processor to detect usage count and a second processor to overwrite image correction data when the predetermined usage limit is reached, ensuring appropriate image processing and preventing further use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image correction data is stored in the endoscope for different models, then image processing accuracy is improved, but device complexity increases due to multiple correction data sets
Solution Approach 1:
The system dynamically switches between different image correction data sets based on the detected endoscope model. The video processor selects and applies the appropriate correction data (first image correction data or second image correction data) corresponding to the connected endoscope model, enabling adaptive image processing without manual intervention.
Solution Approach 2:
The system changes the parameter of image correction data based on the endoscope model detected. Different correction data sets with different correction parameters are stored and selected according to the specific model requirements, allowing optimization for each model while maintaining a unified processing framework.
2Adaptability or versatility
If the video processor performs different pixel count conversions for different endoscope models, then adaptability is improved, but processing time increases
Solution Approach 1:
Different pixel count conversion parameters and image correction data are pre-configured for different endoscope models. When an endoscope is connected, the system quickly identifies the model and retrieves the corresponding pre-prepared conversion parameters, avoiding real-time calculation and reducing processing time.
3Adaptability or versatility
If the system supports multiple endoscope models with different insertion lengths, then versatility is improved, but timing synchronization becomes more difficult
Solution Approach 1:
The system changes the timing parameters for reading image pickup signals based on the endoscope model detected. Different insertion lengths correspond to different timing parameters, and the video processor automatically adjusts these parameters to achieve proper synchronization for each model.
Data Source
AI summary
An endoscope system includes a first processor and a second processor. The first processor is configured to receive an information including a number of times an endoscope is used, and determine if the number of times the endoscope is used is equal to or larger than a predetermined number of times. The second processor is configured to overwrite a first image correction data with a second image correction data when the first processor determines the number of times the endoscope is used is equal to or larger than the predetermined number of times.