UAV Geolocation Exclusion Zone Generation
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Solution Overview
Problem
Current strategies for managing human-wildlife interactions, such as controlling animal populations and establishing habitat barriers, often require active human intervention and are ineffective in determining evolving geolocation patterns of wild animals, leading to potential conflicts and damages.
Innovation Solution
An unmanned aerial vehicle (UAV) system equipped with a processor-based monitoring device, identification device, and mapping device to track geolocation information, identify animals, and determine exclusion zones, minimizing direct interactions and providing deterrence actions based on risk analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current conflict management strategies (controlling animal populations, relocation, habitat barriers) are used to prevent human-wildlife interactions, then human safety and property protection are improved, but active human intervention is required and evolving geolocation patterns of wild animals cannot be determined
Solution Approach 1:
The system enables self-service by deploying autonomous UAVs that independently track wildlife geolocations, process imaging data, generate exclusion zones, and provide deterrence actions without requiring active human intervention. The UAVs autonomously monitor animal populations and dynamically update exclusion zones based on real-time movement patterns, eliminating the need for continuous human monitoring while maintaining reliable safety protection.
Solution Approach 2:
The patent replaces manual mechanical monitoring systems with automated electronic imaging and processing systems. UAVs equipped with cameras and processors automatically capture wildlife locations, analyze movement patterns, and generate exclusion zones without human physical intervention. This substitution of mechanical human monitoring with electronic automation systems enables continuous surveillance while reducing active human involvement.
2Object-affected harmful factors
If current conflict management strategies are implemented to prevent human-wildlife interactions, then property damage prevention is improved, but effectiveness in determining evolving geolocation patterns of wild animals deteriorates
Solution Approach 1:
The system implements continuous feedback loops where UAVs repeatedly image wildlife, track geolocation changes over time, and dynamically update exclusion zones based on observed movement patterns. This ongoing feedback mechanism captures evolving geolocation information that static barriers cannot detect, enabling the system to adapt to changing animal behaviors while preventing property damage through real-time zone adjustments.
Solution Approach 2:
The patent transitions from static habitat barriers to dynamic exclusion zones that automatically adjust based on real-time wildlife movement data. UAVs continuously monitor animal geolocations and update exclusion zone boundaries to reflect evolving patterns, ensuring property protection remains effective while capturing current spatial information about animal behavior that fixed structures cannot provide.
3Reliability
If static habitat barriers are established to prevent human-wildlife interactions, then human safety is improved, but adaptability to evolving animal migration patterns deteriorates
Solution Approach 1:
The system replaces static barriers with dynamic exclusion zones that automatically adapt to changing wildlife migration patterns. UAVs continuously track animal movements and update zone boundaries in real-time, enabling the safety system to evolve with animal behavior while maintaining reliable protection. This dynamic adjustment capability allows the system to remain effective as animals change their migration routes and behaviors.
Solution Approach 2:
The system performs preliminary actions by proactively establishing exclusion zones before human-wildlife conflicts occur. UAVs monitor wildlife movements and preemptively update exclusion zones to anticipate animal migration patterns, preventing potential conflicts before they happen. This proactive approach maintains high safety levels while adapting to evolving animal behaviors through advance zone adjustments.
Data Source
AI summary
An unmanned aerial vehicle for determining geolocation exclusion zones of animals. The unmanned aerial vehicle includes a processor-based monitoring device to track geolocation information associated with an animal from the unmanned aerial vehicle, an identification device mounted on the unmanned aerial vehicle to identify the animal and to track a position of the animal over time, and a mapping device coupled to the monitoring device to determine locations where the animal has traversed and to identify where an encounter with the animal is reduced.