AI Sensor Selection for Real-Time Adaptive Animal Data Collection
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Solution Overview
Problem
Current systems for collecting and processing sensor-based biological data from animals and humans lack dynamic real-time adaptation capabilities, failing to effectively integrate and respond to changing information sources, which limits their efficiency and accuracy in data collection, processing, and usage.
Innovation Solution
A system and method utilizing Artificial Intelligence techniques to intelligently select and manage sensors and their operating parameters, allowing for real-time adjustments in data collection based on dynamically observed variables, enabling the activation, deactivation, or modification of sensor operations to optimize data gathering and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional sensor systems are used for collecting biological data, then the system structure is simple, but the system lacks real-time adaptability and cannot dynamically adjust sensor selection and parameters
Solution Approach 1:
The patent implements dynamic sensor selection and parameter adjustment by using AI techniques to continuously evaluate variables and automatically modify sensor operating parameters in real-time based on changing conditions, transforming a static sensor system into a dynamic adaptive system
Solution Approach 2:
The system performs self-configuration and self-optimization by automatically selecting appropriate sensors and adjusting their parameters without external intervention, using embedded AI algorithms to make real-time decisions about data collection strategies
2Measurement precision
If all sensors operate continuously at full capacity, then comprehensive data is collected, but energy consumption increases and processing efficiency decreases
Solution Approach 1:
The system applies partial action by selectively activating only the necessary subset of sensors and operating parameters required for current measurement needs, rather than running all sensors continuously, thereby reducing energy consumption while maintaining adequate data quality
Solution Approach 2:
The AI system dynamically changes sensor operating parameters such as sampling rate, resolution, and activation state based on current conditions, allowing the system to optimize between data quality and energy consumption by adjusting parameters in real-time
3Productivity
If manual sensor selection and parameter configuration is performed, then system complexity is low, but productivity and response time to changing conditions are reduced
Solution Approach 1:
The system implements feedback loops where AI algorithms continuously monitor collected data and system performance, then automatically adjust sensor selection and parameters to optimize productivity, creating a closed-loop system that self-improves over time
Solution Approach 2:
The patent replaces manual mechanical configuration processes with automated AI-based decision-making systems that intelligently select sensors and configure parameters, substituting human-operated mechanical systems with automated intelligent systems
Data Source
AI summary
A system for intelligently selecting sensors and their associated operating parameters includes one or more source sensors that gather animal data from at least one targeted individual and a collecting computing device in electrical communication with the one or more source sensors. The collecting computing device is operable to utilize one or more Artificial Intelligence techniques to: (1) intelligently gather the animal data from the one or more source sensors; (2) create, modify, or access one or more commands; and (3) and intelligently transmit the one or more commands either directly or indirectly to the one or more source sensors to create or modify one or more sensor operating parameters.