
Meet Butlr
Discover what spatial intelligence can do for you.
Thank you! Your submission has been received!
What is a private occupancy sensor?
A private occupancy sensor detects the presence, movement, and density of people in a space without generating identifiable images or personal data.
- Occupancy sensor: A device that monitors whether a space is occupied and often estimates how many people are present.
- Camera-free sensing: Any method of detecting occupancy that does not capture photos or video of individuals.
- Ambient intelligence: Environment-aware systems that use sensor data to make buildings more responsive and efficient.
Butlr provides an ambient intelligence platform that uses heat-based, camera-free sensing to deliver anonymous, real-time occupancy and activity insights for buildings.
Why choose camera-free, anonymous sensing?
Privacy, trust, and compliance are major drivers for camera-free approaches. Key advantages include:
- Privacy preservation: No video or identifiable images are captured, reducing risk to occupant privacy.
- Lower regulatory friction: Avoids many of the legal complications tied to facial recognition and video storage.
- Increased occupant trust: Transparent, anonymous systems are more acceptable to employees, tenants, and visitors.
- Reduced cybersecurity risk: Less sensitive data reduces the impact of potential breaches.
- Simpler deployments: No need for complex camera placement to avoid private views or blind spots.
By removing imaging from the equation, camera-free sensors make it easier to collect behavioral and utilization metrics while honoring personal privacy.
How heat-based (thermal) sensing works
Heat-based sensors detect infrared radiation emitted by human bodies and other heat sources. Key concepts include:
- Thermal sensing: Detects heat patterns rather than visible light. It can sense occupancy and movement by identifying warm objects and their motion.
- Edge processing: Sensor data is analyzed locally on the device (the “edge”) to extract counts and activity signals before any data is transmitted, minimizing exposure of raw data.
- Aggregation and anonymization: Systems report aggregate metrics—such as counts, dwell times, and flow rates—without logging identifiers or images.
Unlike cameras, thermal sensors do not produce picture files of people. Instead, they translate heat signatures into anonymous analytics that feed building systems, dashboards, or APIs.