Wireless Mesh Sensor Network for Deer Movement Prediction
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Solution Overview
Problem
Current systems fail to accurately determine the movement habits of animals in the wild without disrupting their natural behavior, lacking the ability to predict future movements based on environmental conditions.
Innovation Solution
A wireless mesh network of remote sensors that detect animal movements, capture geographic coordinates, and predict future movements by considering past environmental conditions, using low-cost passive infrared sensors to establish a system for deer movement analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional hunting methods are used with hidden positions in trees, then hunters can observe deer movements, but hunters must endure cold weather for extended periods and remain still to avoid detection
Solution Approach 1:
The patent replaces the mechanical system of human hunters physically positioned in tree stands with an automated sensor system comprising infrared detectors, GPS receivers, and wireless communication devices. This substitution eliminates the need for hunters to endure cold weather and remain stationary, while maintaining accurate deer movement detection through automated sensing and prediction algorithms
Solution Approach 2:
The system enables self-service operation where the sensor network autonomously detects animal movements, tracks GPS locations, and predicts future movements without requiring continuous human presence. The automated nature of the system allows it to perform monitoring functions independently, freeing hunters from the discomforts of traditional tree stand hunting
2Measurement precision
If hunters rely on guesswork or trail clues to determine deer timing, then no specialized equipment is needed, but timing accuracy is poor and hunting success is reduced
Solution Approach 1:
The system incorporates feedback mechanisms where sensor data from multiple locations is continuously collected and fed into prediction algorithms. These algorithms analyze past movement patterns and environmental conditions to generate accurate timing predictions for future deer movements, providing hunters with precise information rather than guesswork
Solution Approach 2:
The system performs preliminary analysis of deer movement patterns and environmental factors in advance, generating predictions before hunting occurs. By pre-processing data and identifying movement trends ahead of time, the system provides hunters with advance knowledge of optimal hunting timing without requiring complex real-time decision-making
3Measurement precision
If devices are deployed to study wild animals, then detailed movement data can be collected, but the devices may upset or interfere with natural animal habits
Solution Approach 1:
The patent replaces intrusive mechanical tracking devices attached to animals with passive infrared sensors that detect animal presence and movement from a distance. This substitution allows detailed movement data collection without physical contact or visible equipment that could alert or disturb the animals, preserving natural behavior patterns
Solution Approach 2:
The system uses environmental mediators such as infrared radiation and GPS signals to indirectly detect and track animal movements. By detecting thermal signatures and using remote sensing technologies, the system gathers detailed behavioral data without direct interaction with the animals, thus avoiding disruption to their natural habits
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
The system effectively predicts deer movements and enhances hunting success by providing detailed, accurate data on animal habits without interfering with their natural activities, offering extended battery life and wide coverage without human intervention.
Implementation Method 1
using low-cost passive infrared sensors to establish a system for deer movement analysis
Data Source
AI summary
An animal movement prediction method including the steps of establishing, receiving and predicting. The establishing step establishes a wireless mesh network of a plurality of remote sensors. Each sensor is established in the wireless mesh network by installing said sensor on an object to detect the animal in a detection zone; activating the sensor; and capturing a geographic coordinate in a mobile device for at least a portion of the detection zone apart from the sensor. The receiving step receives animal detection information from the sensors by way of the mesh network. The animal detection information includes a time of detection. The predicting step predicts the future movements of animals dependent upon the animal detection information.