Pet Microbiota Diversity Scoring for Insurance and Beauty Estimation
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Solution Overview
Problem
Existing methods fail to provide a simple means to estimate insurance premiums and beauty levels of pet animals based on their intestinal microbiota diversity, making it difficult for owners to manage health and financial burdens effectively.
Innovation Solution
An insurance premium calculation system and beauty level estimation system that utilize diversity data of pet animals' intestinal microbiota, incorporating a correlation between microbiota diversity and insurance risk or beauty level, allowing for accurate prediction of financial burdens and aesthetic qualities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional insurance premium calculation methods are used for pet animals, then the calculation process is simple, but the accuracy of predicting financial burdens and health risks is insufficient
Solution Approach 1:
The patent introduces intestinal microbiota diversity data as an intermediary factor between pet animal health status and insurance premium calculation. By using microbiota diversity as a mediator, the system can accurately predict health risks and financial burdens without requiring complex direct measurements of animal health parameters, thus improving prediction accuracy while maintaining system feasibility
Solution Approach 2:
The patent replaces traditional mechanical/physical inspection methods with biochemical analysis of intestinal microbiota. Instead of relying on physical examinations or observable symptoms, the system uses molecular data from fecal samples to calculate insurance premiums, enabling more accurate predictions while simplifying the overall assessment process
2Measurement precision
If physical examination methods are used to assess animal health, then the assessment is straightforward, but the detection of early-stage illnesses and internal health conditions is difficult
Solution Approach 1:
The patent uses intestinal microbiota composition as an intermediary indicator to detect internal health conditions. Since microbiota in the intestine reflects overall health status including immune function, metabolism, and inflammation, analyzing fecal samples provides non-invasive access to internal health information that would be difficult to detect through physical examination alone
Solution Approach 2:
The patent substitutes physical examination with biochemical analysis of fecal microbiota. This replacement enables detection of early-stage illnesses and internal health conditions through molecular markers in stool samples, overcoming the limitations of physical examination in detecting hidden health issues
3Measurement precision
If owners manually assess their pet's beauty level and health, then the assessment is simple, but the objectivity and accuracy of the assessment is insufficient
Solution Approach 1:
The patent introduces microbiota diversity data as an objective intermediary measure to assess pet beauty and health levels. Instead of relying on subjective owner perceptions, the system uses quantifiable microbial community composition as a mediator to objectively determine beauty levels, providing accurate and unbiased assessments
Solution Approach 2:
The patent replaces subjective manual assessment with objective biochemical measurement of intestinal microbiota. This substitution provides quantitative, reproducible data for beauty level assessment, eliminating the subjectivity and inaccuracy inherent in manual evaluations while maintaining ease of use through automated analysis
Data Source
AI summary
An objective of the present invention is to provide a beauty level estimation system and a beauty level estimation method for calculating a beauty level of a pet animal kept by a user based on a correlation between diversity data related to diversity of intestinal microbiota of an animal and a beauty level. The beauty level estimation system includes: an acquisition unit that acquires diversity data of intestinal microbiota of a pet animal kept by a user; and a calculation unit that calculates a beauty level of the pet animal kept by the user based on the diversity data of the intestinal microbiota and a correlation between diversity data of intestinal microbiota of a pet animal and a beauty level.