Region Determining Device for Automatic Water Level Monitoring
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Solution Overview
Problem
Existing water level monitoring systems face challenges in determining an appropriate monitoring region, leading to reduced accuracy and increased risk of delayed detection due to the need for manual selection and limited visibility in fast-switching image displays, and reliance on specific reference objects.
Innovation Solution
A region determining device that calculates the likelihood of wetness in images, measures non-water and boundary pixels, and determines if the region satisfies predetermined conditions, allowing for automatic selection of optimal monitoring regions without requiring a reference object.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If images from multiple monitoring cameras are displayed while being switched at predetermined intervals, then the observer can monitor multiple locations, but the time used for checking each image is limited and accuracy of check is lowered
Solution Approach 1:
The patent divides the monitoring task by selecting and displaying only the most important monitoring locations (segments) rather than all locations equally. The system determines significant monitoring locations based on water level changes and displays images only from those locations, allowing the observer to focus on critical areas without being overwhelmed by all monitoring points simultaneously.
2Measurement precision
If the switching interval of monitoring camera images is lengthened, then the possibility of overlooking by the observer is reduced, but the time required for checking all images becomes longer
Solution Approach 1:
The system performs preliminary determination of significant monitoring locations before the observer needs to check images. By pre-identifying which locations require monitoring based on water level changes and other criteria, the system prepares the monitoring list in advance, allowing the observer to review only the pre-selected important locations without needing to check all locations thoroughly.
3Measurement precision
If a region with high visibility is used as the monitoring region, then the possibility of overlooking by the observer is reduced, but the determination of appropriate region requires manual selection and trial and error
Solution Approach 1:
The system automatically determines the appropriate monitoring region without requiring manual selection or trial and error by the observer. The computer algorithm autonomously identifies significant monitoring locations based on water level changes, image analysis, and predetermined criteria, making the system self-serve the region selection task and eliminating the need for human intervention in the determination process.
4Area of stationary object
If multiple display monitors are provided, then more monitoring locations can be displayed simultaneously, but the number of monitors that can be monitored by the observer is limited
Solution Approach 1:
The patent extracts and displays only the most critical monitoring locations on the display monitor rather than attempting to display all monitoring locations simultaneously. By selecting and extracting only the significant locations based on water level changes and other criteria, the system presents a manageable subset of information that the observer can effectively monitor without being overwhelmed by the full set of available displays.
Data Source
AI summary
A region determining device includes a likelihood calculating unit that calculates a likelihood of wetness of a pixel in an image including a plurality of frames, a non-water pixel measuring unit that measures the number of non-water pixels in which the likelihood falls within a first non-water range in any one of determination regions to be determined in the respective frames, a boundary pixel measuring unit that measures the number of boundary pixels in which the likelihood falls within a first water range in any one of the determination regions and the likelihood falls within a second non-water range in any one of the determination regions, and a region determining unit that determines whether the determination region satisfies a predetermined determination condition based on the number of non-water pixels and the number of boundary pixels.