Ear Movement Sensing for Insect Harassment Evaluation in Livestock
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Solution Overview
Problem
Current solutions fail to provide a tool for evaluating the level of harassment inflicted by flying insects on animal populations, neglecting direct measurements from animals and considering the impact on animal welfare and disease distribution.
Innovation Solution
A system using accelerometers attached to animal ears to detect ear movement patterns, determining if these patterns meet predefined rules, and indicating the need for actions to reduce insect harassment based on these measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If current pest control solutions are used to reduce the number of flying insects, then the number of insects is reduced, but there is no evaluation tool to assess the actual level of harassment inflicted on animals
Solution Approach 1:
The system implements feedback by using accelerometers attached to animals to detect ear movement patterns caused by insect harassment. This feedback loop provides real-time information about the actual harassment level experienced by animals, allowing evaluation of pest control effectiveness and enabling data-driven decisions about when intervention is needed.
2Measurement precision
If direct measurements from animals are implemented to evaluate harassment, then accurate harassment assessment is achieved, but device complexity and measurement difficulty increase
Solution Approach 1:
The system employs self-service by attaching accelerometers directly to the animals themselves, allowing them to serve as their own measurement instruments. The animals' natural ear movements in response to insect harassment are captured by the accelerometers, providing direct, objective measurements of harassment levels without requiring external observation or complex measurement equipment.
3Loss of information
If ear movement patterns are monitored to assess harassment, then direct animal response measurement is achieved, but difficulty of detecting and measuring increases
Solution Approach 1:
The system replaces mechanical observation methods with electronic sensing by using accelerometers to detect ear movements. This substitution transforms the detection of subtle, difficult-to-observe ear movements into measurable acceleration signals that can be processed and analyzed electronically, significantly reducing the difficulty of detection and measurement.
4Adaptability or versatility
If insect harassment evaluation is integrated into animal welfare assessment, then comprehensive welfare monitoring is achieved, but system complexity increases
Solution Approach 1:
The system achieves universality by designing the accelerometer-based ear movement detection system to serve multiple functions: it simultaneously measures insect harassment levels, assesses animal welfare status, and provides data for disease risk evaluation. This multi-functional approach integrates harassment evaluation into existing welfare monitoring frameworks without requiring separate dedicated systems.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate assessment of insect harassment levels, allowing for targeted interventions to improve animal welfare and prevent disease spread.
Implementation Method 1
obtain one or more ear movement patterns associated with at least one ear of at least one animal
Data Source
AI summary
The presently disclosed subject matter aims to a system and method for evaluating the level of harassment of flying insects on a plurality of animals located at a given area, the system comprising a processing circuitry configured to: obtain one or more ear movement patterns associated with at least one ear of at least one animal of the plurality of animals, each ear movement pattern is associated with respective ear movement characteristics; for at least part of the one or more ear movement patterns, determine whether their respective ear movement characteristics meet a predefined rule; and, determine whether a number of ear movement patterns whose ear movement characteristics met the predefined rule meets an action requirement rule.