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What are camera-free thermal occupancy sensors?
Thermal sensors measure infrared heat energy to produce a thermal signature rather than a visual image. Occupancy sensors detect the presence or movement of people in a space. Camera-free thermal occupancy sensors combine thermal sensing with embedded analytics to detect occupancy and activity without capturing photographic images.
These sensors provide anonymous, real-time data about how spaces are used while avoiding the privacy concerns associated with cameras. Companies such as Butlr offer ambient intelligence platforms that process heat-based signals into occupancy, dwell, and flow metrics.
Why choose thermal, camera-free sensing?
- Privacy-first: No photographic images or personally identifiable visual data are recorded.
- Robust in low-light conditions: Thermal sensing is unaffected by lighting changes.
- Anonymized analytics: Heat signatures provide presence and movement information without identity.
- Low-bandwidth: Many systems process data at the edge, sending summarized metrics instead of raw imagery.
These strengths make thermal occupancy sensing especially suitable for offices, classrooms, restrooms, corridors, and other indoor environments where privacy and continuous monitoring matter.
Pre-deployment planning
- Define objectives: energy savings, space utilization, safety, real-time desk/room booking, or footfall analytics.
- Identify KPIs: occupancy accuracy, latency, percentage of spaces covered, and expected reporting cadence.
- Conduct a site survey: map rooms, ceiling heights, obstructions, HVAC outlets, windows, and typical occupant flow patterns.
- Determine sensor density: consider room size, expected activity patterns, and desired granularity (per-room vs. sub-zoning).
Engage stakeholders early—facilities, IT, privacy/compliance, and end users—to ensure alignment on goals and operational requirements.