Urination Analysis Device Flow Momentum Calculation
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Solution Overview
Problem
Existing technologies for analyzing urination from image data fail to consider flow momentum, urine quantity, and urine specific gravity, which are important health indicators, especially for elderly and diabetic patients.
Innovation Solution
A urination analysis method that calculates flow momentum, urine quantity, and urine specific gravity by analyzing image data from a camera positioned at a toilet, using pixel number changes to determine these parameters and outputting the results for health management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If image recognition is used to detect urination, then urination detection capability is improved, but measurement precision of flow momentum, urine quantity, and urine specific gravity deteriorates
Solution Approach 1:
The patent segments the urination analysis into multiple independent calculation components: flow momentum calculation based on pixel number change rate, urine quantity calculation based on integrated pixel numbers over time, and urine specific gravity calculation based on color information. This segmentation allows each parameter to be calculated using appropriate methods, resolving the contradiction between detection capability and measurement precision.
Solution Approach 2:
The patent transitions from two-dimensional image data to three-dimensional analysis by incorporating time as a dimension. By calculating pixel number changes over time and integrating these changes, the system derives flow momentum and urine quantity that were previously difficult to obtain from static images, thereby improving measurement precision while maintaining detection capability.
2Device complexity
If only basic image recognition is performed, then device complexity is reduced, but measurement precision of health indicators deteriorates
Solution Approach 1:
The patent makes the image analysis system multi-functional by extracting multiple health indicators (flow momentum, urine quantity, urine specific gravity) from the same image data. The single image processing system performs multiple measurement functions simultaneously, reducing overall device complexity while improving measurement precision through comprehensive analysis.
Solution Approach 2:
The patent changes the parameters being measured from simple presence/absence detection to quantitative analysis of flow momentum, urine quantity, and urine specific gravity. By transforming the analysis parameters and using mathematical operations (differentiation for flow momentum, integration for urine quantity), the system achieves higher measurement precision without significantly increasing device complexity.
Data Source
AI summary
A urination analysis device that analyzes urination performs: acquiring image data captured by a camera which is located at a toilet to photograph a bowl of the toilet; calculating a urination pixel number being the number of pixels of an image showing urination from the image data when the urination by a user is detected by image recognition of the image data; calculating, on the basis of a change in the urination pixel number, a flow momentum value of the urination, a urine quantity, and a urine specific gravity; and outputting the flow momentum value, the urine quantity, and the urine specific gravity.