AI Animal Repellence Control for Species-Specific Deterrence
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Solution Overview
Problem
Existing methods for repelling wild animals from crops and traffic areas are labor-intensive, require continuous maintenance, and are often ineffective for multiple animal species, as they rely on fences, chemical, and electrical repellents that may not cover all species effectively.
Innovation Solution
A repellence system comprising an unmanned vehicle equipped with an imaging device and deterrence devices, controlled by a sub-system that detects and identifies animal species using image data from various imaging devices, allowing for species-specific deterrence actions to be executed autonomously within a predetermined geographical area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fences are used to prevent animals from entering fields, then animal protection is improved, but labor intensity and maintenance requirements increase
Solution Approach 1:
The system employs autonomous unmanned vehicles that automatically patrol surveillance areas, detect animals using imaging devices, and execute deterrence actions without human intervention. The vehicles self-navigate, self-monitor for animals, and self-respond with species-specific deterrence, eliminating the need for manual fence maintenance and animal checking.
Solution Approach 2:
The patent replaces passive mechanical fences with an active electronic system comprising unmanned vehicles, imaging devices, and deterrence devices. This substitution transforms the mechanical barrier approach into an automated monitoring and response system that reduces manual labor while maintaining or improving protection effectiveness.
2Reliability
If chemical and electrical repellents are used to repel animals, then deterrence effectiveness is improved for specific species, but applicability to multiple species decreases
Solution Approach 1:
The system dynamically adapts its deterrence approach based on real-time animal species identification. The unmanned vehicle adjusts the type of deterrence action (acoustic, visual, or olfactory) according to the detected species, transforming a static repellent system into a dynamic, species-specific response system that maintains high effectiveness across diverse animal types.
Solution Approach 2:
The patent changes the parameters of deterrence actions based on identified animal species. Different species receive different types of deterrence (sound frequencies, light patterns, or scent signals), allowing the system to maintain high deterrence effectiveness across multiple species by adjusting the appropriate parameters for each target animal type.
3Adaptability or versatility
If multiple repellent methods are used to cover different animal species, then species coverage is improved, but system complexity increases
Solution Approach 1:
The unmanned vehicle serves as a universal platform that integrates multiple functions: navigation, animal detection through various imaging devices, species identification using AI algorithms, and execution of multiple types of deterrence actions. This multi-functional design consolidates what would otherwise require separate systems for each function into a single versatile platform.
Solution Approach 2:
The patent merges detection capabilities (imaging devices), analysis capabilities (AI species identification), and deterrence capabilities (acoustic, visual, and olfactory devices) into an integrated system. By combining these previously separate functions into one unified unmanned vehicle system, the patent reduces overall system complexity while maintaining comprehensive species coverage.
4Measurement precision
If manual monitoring and repellent application are used, then response accuracy is improved, but time consumption increases
Solution Approach 1:
The unmanned vehicle continuously patrols the surveillance area, continuously monitoring for animals without interruption. This continuous operation eliminates the gaps between manual checks, ensuring that animals are detected and deterred as soon as they enter the protected area, thereby maintaining high response accuracy while reducing the time loss associated with manual monitoring intervals.
Solution Approach 2:
The system implements real-time feedback loops where the imaging devices continuously capture images, the AI algorithm immediately processes and identifies animal species, and the deterrence devices respond instantly based on the identification. This rapid feedback cycle maintains high response accuracy while minimizing the time delay between animal detection and deterrence action.
Data Source
AI summary
A repellence system and method for repelling animals. The repellence system includes an imaging device arranged to generate image data from a surveillance area, one or more deterrence devices arranged to carry out deterrence actions for repelling animals and an repellence sub-system having one or more processors and memory storing instructions for execution by the one or more processors. The repellence sub-system being configured to receive image data of the surveillance area from the imaging device, detect an animal in the image data, identify animal species of the detected animal in the image data, provide species specific deterrence instructions to the one or more deterrence devices based on the identified animal species.