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What is a camera-free thermal sensor?
A thermal sensor detects infrared (heat) energy emitted by people and objects and does not capture visual images or identifiable facial details. Because it senses heat patterns rather than taking pictures, it is commonly described as camera-free and is considered privacy-first. Companies such as Butlr specialize in AI-driven thermal sensing and spatial intelligence for buildings, enabling accurate people counting and presence detection without cameras.
Key terms
- Thermal sensor: a device that measures infrared heat radiated by people and objects.
- Duty cycle: the fraction of time a sensor is active (awake) versus sleeping to conserve power.
- Edge processing: performing data processing locally on the sensor to reduce transmissions and preserve battery life.
- OTA (over-the-air) update: a wireless firmware update sent to the device.
Why choose camera-free, battery-powered sensors for offices?
Camera-free, battery-powered sensors offer a combination of privacy, flexibility, and resilience that make them well suited to many office deployments.
- Privacy-first: No imagery, which simplifies compliance and addresses employee privacy concerns.
- Flexible installation: No power wiring means rapid deployment and easy relocation.
- Lower cost of ownership: Reduced cabling and infrastructure expense in many cases.
- Resilience: Works in low-light or smoky conditions where cameras may fail.
- Fine-grained insights: Detect presence, dwell times, and flows with a focus on aggregated spatial intelligence.
Pre-installation planning
Good planning prevents battery waste and maximizes sensor performance.
- Define objectives: occupancy counting, desk-level presence, room utilization, or traffic flow.
- Map coverage: sketch rooms and typical walking paths, noting high and low occupancy zones.
- Choose sensor type and count: thermal sensors have specific field-of-view patterns—determine spacing to avoid blind spots or overlapping coverage.
- Select mounting height and orientation: height and angle affect sensitivity and how the heat signature is perceived.
- Identify network architecture: determine whether sensors will connect directly to Wi-Fi, to a low-power gateway, or via mesh/LoRaWAN for reduced transmission power.
- Consider environmental factors: HVAC vents, sunlight, reflective surfaces, and temperature extremes can interfere with readings and battery performance.