AI Pet Video Triage for Early Abnormal Behavior Detection
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Solution Overview
Problem
Pet owners lack the expertise to accurately recognize abnormal behaviors or early symptoms of illness in their animals, leading to delayed veterinary visits and increased treatment costs, and there is a need for a system that enables easy monitoring and timely guidance on veterinary consultation.
Innovation Solution
A system that includes a processor to analyze real-time video data of animals using a generative AI model, compare the analysis with animal case data to determine the necessity of a veterinary visit, and notify the user, with the option to automatically share data with a veterinary hospital.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If pet owners monitor their animals without expert knowledge, then they can easily check their pets' health status, but they cannot accurately recognize abnormal behaviors or early symptoms of illness
Solution Approach 1:
The patent introduces an AI analysis system as an intermediary between the pet owner and the veterinary professional. The system includes an image acquisition device that captures pet behavior, an AI analysis device that processes the images to detect abnormalities, and a notification device that communicates results to the owner. This intermediary system enables ordinary owners to achieve expert-level detection accuracy without requiring them to possess veterinary knowledge.
Solution Approach 2:
The patent replaces the mechanical system of human expert judgment with an AI-based automated analysis system. Instead of relying on the owner's subjective assessment or requiring consultation with a veterinarian for every observation, the system uses machine learning models to objectively analyze pet behavior images, detect abnormalities, and provide actionable insights, thereby substituting human expertise with automated intelligent analysis.
2Loss of energy
If pet owners delay veterinary visits due to lack of expertise, then they can avoid unnecessary veterinary costs, but the animal's condition progresses or aggravates
Solution Approach 1:
The patent implements preliminary detection and notification functionality that identifies health issues before they require immediate veterinary intervention. The system continuously monitors pet behavior, detects early signs of illness through AI analysis, and notifies owners in advance, allowing them to seek veterinary care at the appropriate time rather than delaying until conditions worsen or incurring unnecessary costs for minor issues.
Solution Approach 2:
The system establishes a feedback loop where detection results are communicated back to the owner, who can then make informed decisions about veterinary consultation. The notification device provides actionable information including the type of abnormality detected and recommendations for next steps, enabling owners to balance cost considerations with the need for timely intervention based on objective system assessments rather than subjective judgment.
3Speed
If a system automatically transmits video data to animal hospitals, then timely veterinary intervention is enabled, but user privacy and data security concerns arise
Solution Approach 1:
The patent extracts and transmits only the necessary information to veterinary facilities - specifically, the detected abnormality type and relevant image data - rather than transmitting all raw video footage or unnecessary personal information. This selective extraction minimizes data security risks while maintaining the ability to enable timely veterinary intervention for detected health issues.
Data Source
AI summary
A system includes a processor that acquires real-time video data of an animal, analyzes the acquired video data using a generative AI model, compares the analysis result with animal case data to determine the necessity of a veterinary visit, and notifies a user of the determination result.