Animal Sensing and Classification for Automated Invasive Species Routing
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Solution Overview
Problem
Current methods for controlling invasive alien species are limited to manual removal and poison control, which are inefficient and costly, and there is a need for more effective monitoring and management systems.
Innovation Solution
An animal sensing system that includes sensors to detect characteristics of animals, a central processing unit for classification, and directional guides to control animal paths, allowing for the sorting and management of invasive species without physical contact.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual removal and poison control methods are used to control invasive species, then the implementation is simple and low-tech, but the efficiency is low and costs are high
Solution Approach 1:
The patent replaces manual mechanical removal methods with an automated sensing and classification system that uses optical sensors, image processing, and machine learning algorithms to identify and direct invasive species, thereby increasing efficiency while reducing the need for human labor and physical intervention
Solution Approach 2:
The system enables self-service by autonomously detecting, classifying, and directing animals through automated decision-making algorithms and actuated gates without requiring continuous human operation or intervention, allowing the system to manage invasive species independently once deployed
2Productivity
If automated sensing and classification systems are implemented, then the efficiency and productivity improve, but the device complexity increases
Solution Approach 1:
The system achieves multi-functionality by integrating multiple capabilities into a single platform: detection of various animal species, classification using multiple sensing modalities (optical, acoustic, electromagnetic), real-time processing, and automated directional control, thereby maximizing productivity while consolidating complexity into a unified system architecture
Solution Approach 2:
The patent introduces an intermediary processing layer that bridges the gap between raw sensor data and actuation commands, using machine learning models and decision algorithms to translate complex sensor inputs into simple gate control signals, thereby managing system complexity while maintaining high automation capabilities
3Ease of operation
If physical contact methods are used for animal handling, then the control action is direct and immediate, but the stress and harm to animals increase
Solution Approach 1:
The patent replaces direct physical contact handling with non-contact sensing methods (optical, acoustic, electromagnetic fields) that can detect and track animals from a distance, and uses remotely actuated gates or barriers to direct animal paths without requiring physical manipulation or confinement, thereby maintaining operational effectiveness while reducing stress and harm to the animals
Data Source
AI summary
Animal sensing systems and methods are described. An animal sensing system can include an input section with an entrance and an output section having at least two output paths each having its own exit. An animal can enter the animal sensing system through the entrance. A sensor within a sensing area of the input section can detect one or more characteristics of the animal, and can communicate the detected characteristic(s) to a central processing unit. The central processing unit can use the received data to classify the animal based on the detected characteristic(s), and then control a directional guide, such as a gate, in the animal sensing system on the basis of the classification, so as to direct the animal within the animal sensing system, such as to allow access to only one of the output paths at a time. The animal may thus be allowed to exit the animal sensing system through only one output path, directing the animal to a desired location based on the classification.