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.
  • ...
  • 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.
  • ...
• Examples:
  • 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.
  • ...
• Counter-Examples:
  • 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.

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