Pet Safety Management System with Video Analysis and Warning Device
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Solution Overview
Problem
Current pet safety management systems are ineffective in preventing pet thefts as they rely on manual troubleshooting after the event, failing to provide timely intervention.
Innovation Solution
A pet safety management method and system that acquires and analyzes video feeds to determine the state of a target pet and its environment, triggering a warning device to alert owners if the pet is in a potentially dangerous situation, thereby preventing thefts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual troubleshooting is used after pet theft occurs, then the system can investigate the incident, but the response time is delayed and prevention is not achieved
Solution Approach 1:
The system performs preliminary actions by continuously monitoring video feeds and analyzing pet states before theft occurs. The automated detection system proactively identifies dangerous situations and triggers warnings in advance, transforming post-event manual investigation into pre-event automated prevention.
Solution Approach 2:
The patent replaces manual mechanical troubleshooting with automated electronic video analysis systems. Computer vision algorithms automatically detect pet states, track movements, and identify theft attempts, eliminating the need for human operators to manually review footage and respond to incidents.
2Productivity
If automated video analysis is implemented, then real-time detection capability is improved, but system complexity increases
Solution Approach 1:
The system segments the video analysis task into distinct functional modules: video acquisition module, state analysis module, danger assessment module, and warning transmission module. Each module handles specific aspects of pet monitoring independently, making the complex system more manageable and maintainable while improving overall detection efficiency.
Solution Approach 2:
The patent introduces an intermediary processing layer between video capture and final warning generation. The state analysis module acts as a mediator that processes raw video data, identifies pet states, and assesses danger levels before triggering warnings, simplifying the overall system architecture while maintaining high detection productivity.
Data Source
AI summary
The present application relates to a pet safety management method and system, computer equipment and a storage medium. The method includes: acquiring a first video comprising a target pet and a target object, the target object being an active object except the target pet; analyzing the first video to determine a first state of the target pet and a second state of the target object; acquiring a surrounding environment video of the target pet if the target pet is determined to be in an initial dangerous state according to the first state and the second state; and analyzing the surrounding environment, determining that the target pet is in a dangerous state if the surrounding environment is an interference-free environment, and controlling an warning device carried by the target pet to send a warning message to timely prevent a pet from being stolen.