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Use CasesOccupancy Detection

Occupancy Detection Using Wi-Fi Sensing

Wi-Fi-based occupancy detection determines the presence and number of people in a space using wireless signal analysis. This technology provides a privacy-preserving alternative to cameras while offering advantages over traditional PIR sensors by detecting stationary occupants.

How Wi-Fi Occupancy Detection Works

Wi-Fi signals continuously bounce off objects and people in the environment:

  • Static Environment: Stationary objects create consistent signal patterns
  • Moving Objects: Motion causes changes in signal reflection patterns
  • Doppler Effects: Moving objects create frequency shifts in reflected signals
  • Multipath Variations: Motion alters the paths Wi-Fi signals take through space
  • Amplitude Changes: Movement affects signal strength at receiver antennas

For occupancy detection specifically, human presence affects Wi-Fi signals through:

  • Signal absorption: Body tissues absorb electromagnetic waves
  • Reflection and scattering: Human body creates multipath reflections
  • Shadowing effects: Bodies block direct signal paths
  • Breathing patterns: Subtle periodic signal variations enabling stationary detection

Types of Occupancy Detection

Presence Detection

  • Binary States: Simply detecting if someone is present or absent
  • Room Occupancy: Determining if spaces are occupied
  • Area Monitoring: Detecting presence in specific zones
  • Through-Wall Detection: Sensing presence in adjacent rooms
  • Multiple Person Detection: Identifying when multiple people are present

Occupancy Counting

  • People counting: Estimate number of occupants
  • Entry/exit tracking: Monitor movement in and out of spaces
  • Crowd density: Assess occupancy levels in larger areas
  • Real-time monitoring: Continuous occupancy updates

Advantages Over Traditional Methods

Compared to PIR Sensors

  • Stationary Detection: Detects presence even when people are not moving
  • Through-Wall Capability: Senses occupancy through walls and barriers
  • Multiple Person Detection: Distinguishes between different occupancy levels
  • No Blind Spots: Comprehensive room coverage without sensor placement limitations
  • Weather Independence: Indoor performance unaffected by temperature changes

Compared to Camera Systems

  • Privacy Preservation: Occupancy detection without visual recording
  • Darkness Operation: Works in complete darkness and low-light conditions
  • Lower Bandwidth: Reduced network traffic compared to video streaming
  • Through-Obstacle Detection: Detects presence behind furniture and barriers
  • Reduced Storage: Minimal data requirements compared to video systems

Compared to Door/Window Sensors

  • Interior Monitoring: Tracks occupancy within rooms, not just entry/exit
  • Multiple Occupants: Counts people already inside spaces
  • Real-Time Status: Continuous occupancy monitoring rather than event-based
  • No Installation: Uses existing Wi-Fi without additional hardware
  • Comprehensive Coverage: Monitors entire spaces, not just access points

Wi-Fi-based occupancy detection provides accurate, privacy-preserving monitoring of space utilization and human presence. This contactless technology enables intelligent building management, energy optimization, and security applications while maintaining user privacy and leveraging existing Wi-Fi infrastructure.

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