Sensing System
A Sensing System is a data-processing system that combines sensors and sensing algorithms to acquire and process sensory input for solving sensing tasks.
- Context:
- It can (typically) collect Environmental Data through sensor arrays.
- It can (typically) process Sensor Signals using signal processing algorithms.
- It can (typically) maintain Sensor Calibration for accurate measurements.
- It can (often) filter Signal Noise through data cleaning processes.
- It can (often) integrate Multiple Sensors for comprehensive sensing.
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- It can range from being a Natural Sensing System to being an Artificial Sensing System, depending on its sensing implementation type.
- It can range from being a Single-Mode Sensing System to being a Multi-Mode Sensing System, depending on its sensor modality count.
- It can range from being a Simple Sensing System to being a Complex Sensing System, depending on its sensing architecture complexity.
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- Example(s):
- Biological Sensing Systems, such as:
- Vision System (Natural), processing visual input through photoreceptors.
- Olfactory System (Natural), detecting chemical signatures.
- Gustatory System (Natural), analyzing chemical compositions.
- Technical Sensing Systems, such as:
- Computer Vision System (2024), capturing image data through digital sensors.
- Chemical Detection System (2024), measuring molecular compositions.
- Environmental Monitoring System (2024), tracking atmospheric conditions.
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- Biological Sensing Systems, such as:
- Counter-Example(s):
- Pure Processing Systems, which lack sensors for data acquisition.
- Data Storage Systems, which only store without sensing capability.
- Output Systems, which produce rather than sense information.
- See: Sensor Network, Signal Processing, Detection System, Sensor Fusion, Environmental Monitoring.