Pet Containment Collar Using Predictive Location Analysis
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Solution Overview
Problem
Current pet containment systems using GPS and radio links face limitations such as accuracy issues, high computational demands, battery life problems, and interference from environmental factors, leading to ineffective training and potential harm to pets.
Innovation Solution
A wireless location-assisted zone guidance system that uses a self-contained collar with GPS and a processor to determine the pet's location and provide advance notifications of impending safe zone departures, utilizing a data table to associate geographic locations with behavioral guidance zones and adjust stimulation accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS and radio link systems are used for pet containment, then location tracking capability is improved, but accuracy and reliability deteriorate due to environmental interference
Solution Approach 1:
The patent introduces an intermediary prediction mechanism that processes GPS location data through behavioral analysis before triggering containment responses. This intermediary layer filters out false positives caused by environmental interference and provides more reliable decision-making, resolving the contradiction between using GPS/radio links and maintaining accuracy under environmental interference.
2Measurement precision
If complex computational algorithms are used for real-time location analysis, then prediction accuracy is improved, but battery consumption increases
Solution Approach 1:
The patent performs preliminary behavioral pattern analysis by storing historical location data and establishing baseline behavioral models in advance. During real-time operation, the system only needs to compare current GPS readings against pre-computed behavioral expectations, dramatically reducing computational load and battery consumption while maintaining high prediction accuracy.
Solution Approach 2:
The system applies computational resources selectively - using full computational power only when behavioral deviations are detected, and minimal processing during normal compliant behavior. This partial action approach maintains high prediction accuracy when needed while conserving battery energy during extended periods of normal operation.
3Manufacturing precision
If traditional containment structures like fences are used, then boundary definition is improved, but portability and adaptability deteriorate
Solution Approach 1:
The patent replaces mechanical containment structures (fences, leashes) with an electronic system that uses GPS satellites for boundary definition. This substitution eliminates the need for physical infrastructure while maintaining precise boundary enforcement through virtual geofencing, achieving both accurate boundary definition and complete portability.
Solution Approach 2:
The electronic containment system serves multiple functions: it defines boundaries, tracks location, predicts behavior, provides training feedback, and adapts to different environments. This multi-functionality replaces multiple separate systems (fences, leashes, training devices) with a single portable unit that maintains precise boundary control across diverse locations.
4Productivity
If immediate stimulation is provided when boundary is approached, then containment effectiveness is improved, but training time and animal stress increase
Solution Approach 1:
The system provides preliminary warnings and gradual behavioral corrections before the animal actually crosses the boundary. By detecting early signs of boundary approach and providing staged interventions, the system prevents boundary violations before they occur, reducing both training time and animal stress while maintaining high containment effectiveness.
Solution Approach 2:
The patent implements continuous feedback loops that monitor behavioral patterns and adjust stimulation intensity and timing based on real-time performance. This adaptive feedback reduces unnecessary stimulation for compliant animals, shortens training time through progressive reinforcement, and maintains high containment effectiveness by responding appropriately to each animal's learning progress.
Data Source
AI summary
A fully self-contained collar monitors the location of a pet. A look-up table has rows and columns representing geographic location, and machine-stored values at each table location represent a particular one of several guidance zones. The real-time guidance zone determination is made by first determining present location. The corresponding table location value representing guidance zone is retrieved. Each guidance zone has an associated set of characteristics used by collar electronics and stimulus generators to generate well defined and positive stimulus to train the pet to stay within a predetermined area. In addition, using location history the collar electronics also predictively alerts the pet of an impending exit from a safe zone. This departure alert may be further combined with inertial validation and dynamic position request intervals to provide a much more reliable and robust system that is then able to much more efficiently and effectively train a pet.