AI Pet Behavior Scoring for Easier Health-Aware Interaction

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Solution Overview

Problem

Current pet owners lack an effective interaction system to understand and care for their pets' behaviors due to the specialized knowledge required for animal behavior recognition, leading to inadequate pet care and emotional support.

Innovation Solution

An intelligent pet breeding interaction system integrating a storage module, image capturing module, processing module, and artificial intelligence module to analyze pet behaviors and generate mental and physical health scores, with augmented reality for enhanced interaction.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If animal behavior recognition is performed using specialized knowledge, then measurement precision of pet behaviors is improved, but device complexity and ease of operation deteriorate because most pet owners lack specialized knowledge

Engineering Contradiction:
Improvebehavior recognition accuracyVSAvoidease of use for pet owners
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The patent introduces an AI module as an intermediary that automatically performs behavior recognition and health assessment. The module captures images via a camera, processes them through trained AI models to identify postures and behaviors, and generates health scores without requiring owners to have specialized knowledge. This mediator bridges the gap between complex analysis capabilities and simple user interaction.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system enables self-service by automatically analyzing pet behaviors and generating health assessments without human intervention in the analysis process. The AI module autonomously performs image processing, behavior classification, and health scoring, allowing pet owners to simply capture images and receive results without needing to understand or perform complex behavior recognition tasks.

Inventive Principle:
Principle #25Self-service

2Loss of information

If no interaction system is provided, then device complexity is reduced, but loss of information about pet health and behavior increases

Engineering Contradiction:
Improvepet health and behavior understandingVSAvoidsystem structure
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent creates a multi-functional integrated system that combines image capture, AI processing, behavior recognition, health assessment, and interaction capabilities into a single platform. The system serves multiple purposes: capturing pet images, analyzing behaviors, generating health scores, providing care suggestions, and enabling owner-pet interaction through simulated animations, thereby reducing information loss while consolidating functions.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system implements feedback mechanisms by continuously monitoring pet behaviors through image capture, analyzing changes in health indicators, and providing responsive care suggestions. The AI module compares current behaviors with historical data to detect changes and generates feedback in the form of health scores and actionable advice, enabling continuous improvement of pet care based on observed patterns.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS20260031233A1Intelligent pet breeding interaction system and method thereof
Publication Date: 2026.01.29 TAMKANG UNIVERSITY
  • US20260031233A1 patent drawing
  • US20260031233A1 patent drawing
  • US20260031233A1 patent drawing

AI summary

An intelligent pet breeding interaction system includes a storage module, an image capturing module, a processing module, and an artificial intelligence module. The storage module stores a plurality of first postures corresponding to a mental health indicator and a plurality of second postures corresponding to a physical health indicator. The image capturing module monitors a target object to generate a monitoring image. The processing module compares the target object in the monitoring image with the first postures to generate a mental health score and compares the target object in the monitoring images with the second postures to generate a physical health score. The artificial intelligence module receives an inquiry message and generates a response message based on the inquiry message, the mental health score, and the physical health score.