Drone Wildlife Viewing With Geo-Fencing and Poaching Detection
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Solution Overview
Problem
Current wildlife conservation efforts face challenges in effectively protecting endangered species from habitat destruction, poaching, and overexploitation, with limited technologies available for remote monitoring and tourism that can generate revenue and raise awareness.
Innovation Solution
A system and method for remote wildlife viewing using drones equipped with cameras, controlled by users via a processor that enables image capture, identification, and geo-fencing, while also monitoring conservation areas and detecting illegal activities, integrated with a platform for booking and revenue sharing with conservancies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional wildlife monitoring methods are used, then direct observation and interaction with wildlife is possible, but this causes habitat disturbance and safety risks to both wildlife and humans
Solution Approach 1:
The patent introduces drones as intermediary devices that carry cameras and sensors to observe wildlife from a distance. The drone acts as a mediator between human observers and wildlife, allowing remote monitoring without direct human-wildlife interaction, thus eliminating habitat disturbance while maintaining observation reliability
Solution Approach 2:
The patent replaces traditional mechanical observation methods (human observers physically present in habitats) with automated drone-based imaging and sensing systems. This substitution eliminates the need for human presence in sensitive habitats, removing the source of disturbance while maintaining continuous monitoring capability
2Productivity
If remote wildlife viewing platforms are deployed, then wildlife tourism revenue can be generated, but this increases system complexity and operational costs
Solution Approach 1:
The patent designs the drone system to perform multiple functions: wildlife observation, tourism entertainment, poaching detection, and data collection. By making the system multi-functional, the patent reduces the need for separate dedicated systems for each purpose, thereby managing complexity while maximizing revenue potential through diverse applications
Solution Approach 2:
The patent implements automated features including AI-powered wildlife identification, automatic geo-fencing enforcement, and self-managed booking systems. These self-service capabilities reduce operational overhead and manual intervention requirements, helping to manage system complexity while maintaining revenue-generating tourism operations
3Ease of operation
If drones are used for wildlife monitoring, then remote and safe viewing is enabled, but this requires advanced technology infrastructure and processing capabilities
Solution Approach 1:
The patent introduces a cloud-based processing platform as an intermediary that handles complex image processing, wildlife identification, and data management. This mediator absorbs the computational complexity, allowing the drone hardware to remain relatively simple while still providing advanced remote viewing capabilities with AI-powered features
Solution Approach 2:
The patent replaces complex on-board drone processing hardware with cloud-based computational resources. By substituting mechanical/physical processing power in the drone with remote cloud computing, the system achieves advanced processing capabilities without increasing drone complexity, making remote viewing more accessible
4Reliability
If geo-fencing and monitoring systems are implemented, then poaching and illegal activities can be detected, but this increases energy consumption and operational constraints
Solution Approach 1:
The patent implements periodic sampling of the environment rather than continuous monitoring. The drone checks for poachers or illegal activities at regular intervals and only activates full monitoring modes when anomalies are detected. This periodic approach maintains anti-poaching effectiveness while dramatically reducing average energy consumption compared to continuous monitoring
Solution Approach 2:
The patent applies monitoring resources selectively - full surveillance is activated only when poaching risk is detected or during high-risk periods, while normal conditions receive minimal monitoring. This partial action approach ensures reliable anti-poaching detection when needed while minimizing energy consumption during low-risk periods
Data Source
AI summary
Systems and methods to preserve wildlife and enable remote wildlife tourism are described. A system for a remote wildlife viewing includes a memory and a processor. The processor is configured to control a set of one or more drones with cameras. The processor is configured to enable a user to log onto one or more of the drones to capture one or more wildlife images using one or more of the cameras. The processor is configured to display the one or more wildlife images on a user device.