RFID Gateway Matching for Accurate Livestock Counting
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Solution Overview
Problem
Existing RFID-based systems for livestock management, particularly for low-value animals in free grazing environments, face challenges with unreliable counting, inability to monitor relations between animals, and failure to detect anomalies, leading to inaccurate tracking and oversight.
Innovation Solution
A method and system utilizing gateways equipped with identity detection capabilities, including omnidirectional or directional antennas, to determine unique identities of entities by signal strength and direction, and a cloud-based system for data storage and analysis, enabling accurate counting and relation determination through signal thresholds and probability calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If RFID readers are used to count livestock in free grazing environments, then animal identification is enabled, but counting accuracy deteriorates due to false readings when animals flock together
Solution Approach 1:
The system divides the livestock group into individually detectable units by using multiple RFID readers positioned at different locations. Each reader captures signals from animals in its specific zone, and the central processor combines these segmented readings to establish unique animal identities and relationships, preventing false counts when animals are crowded together.
Solution Approach 2:
The system implements feedback mechanisms where the central processor continuously receives RFID signals from multiple readers, analyzes reading patterns over time, and adjusts identification algorithms based on repeated observations. This feedback loop allows the system to distinguish between false readings and genuine animal identities by requiring consistent detection across multiple time points and reader positions.
2Reliability
If manual monitoring methods are used to track livestock relations, then system complexity is reduced, but the ability to detect anomalies and monitor relations deteriorates
Solution Approach 1:
The system enables livestock to self-identify through their RFID tags without requiring manual intervention. Animals automatically transmit their identification signals to readers as they move through grazing areas, and the central processor autonomously analyzes these signals to establish relationships, detect anomalies, and generate reports, eliminating the need for complex manual monitoring procedures.
Solution Approach 2:
The system replaces manual mechanical monitoring methods with automated electronic detection. RFID readers electronically capture animal identification data without physical contact, and computer algorithms automatically analyze relationships and detect anomalies, substituting human labor and simple mechanical counting with sophisticated but manageable electronic and computational systems.
3Adaptability or versatility
If simple RFID counting systems are used, then installation cost is reduced, but the ability to determine animal relations and provide comprehensive monitoring deteriorates
Solution Approach 1:
The system implements multi-functional RFID readers that not only count animals but also determine relationships between animals, detect anomalies, and provide comprehensive monitoring data. The central processor serves multiple functions by analyzing the same RFID signal data to establish identities, relationships, and behavioral patterns, maximizing the utility of each installed component without requiring separate specialized devices.
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 precise, error-free counting and monitoring of livestock, including relation detection and anomaly identification, improving oversight and compliance with regulatory reporting requirements.
Implementation Method 1
the gateway comprising an omnidirectional or directional antenna for receiving said signals when the received signal strength is above a predefined threshold
Data Source
AI summary
A method for matching related entities includes: providing at least one gateway including identity reading capability, detecting and determining, by the at least one gateway, the unique identity of each entity in a group of entities, and storing collected identities and gateway data in an on-site and/or an off-site data storage. A system for matching related entities is also disclosed.