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Why lab validation matters
Lab validation converts product claims into repeatable, measurable performance. For facility managers, researchers, and procurement teams, lab results demonstrate how anonymous, heat-based sensors behave under controlled conditions—before they are deployed in complex real-world spaces.
Butlr focuses on privacy-first, thermal occupancy sensing. Lab validation for these sensors shows how well the devices detect presence, estimate occupancy counts, and maintain accuracy when faced with variations in temperature, occlusion, and installation geometry.
Lab test setup — reproducible and controlled
A robust lab test setup isolates variables and ensures results are comparable across sensor models and test runs. Typical setup elements include:
- Dedicated test space with controllable ambient conditions (temperature, airflow, lighting).
 - Mounting fixtures that replicate real installations: ceiling, wall, and recessed mounts at standard heights.
 - Ground truth systems for verification: non-invasive reference sensors, synchronized event logs, and anonymized video or pressure-mat data used only for validation.
 - Data capture infrastructure: high-precision clocks for synchronization, redundant logging, and access to raw thermal streams where permitted.
 
Sensors and mounting
Sensors are evaluated in both wired and wireless configurations. Mounting variations test field conditions such as:
- Ceiling heights from low (8–10 ft) to high (15+ ft).
 - Off-axis angles to simulate non-central installations.
 - Proximity to heat sources (vents, windows) to assess robustness.
 
Controlled environment considerations
To stress-test sensor behavior, labs use controlled perturbations:
- Ambient temperature sweeps to confirm stability across a defined operating range.
 - Airflow and HVAC cycling to evaluate transient responses.
 - Deliberate occlusions (partial and full) to measure falloff in detection confidence.
 
Data acquisition and synchronization
Accurate validation requires synchronized timestamps between Butlr sensors and ground truth. Labs use:
- Centralized logging with precision time protocol.
 - Event markers for staged movements (entry/exit, seating/standing).
 - Repeatable scenario scripts to produce consistent datasets.
 
Measurement methodology — what we measure and why
Lab methodology converts raw sensor output into meaningful performance metrics. Core steps include:
- Define scenarios and acceptance criteria before testing begins.
 - Calibrate sensors using stable reference points to ensure consistency.
 - Run repeated trials to quantify variance and confidence intervals.
 - Aggregate results into metrics aligned with real use-cases (e.g., conference rooms, open offices, corridors).
 
Scenarios tested
Common scenarios reflect typical building spaces and user behaviors:
- Single-person detection: entry, seated, standing, and transient movement.
 - Multi-person occupancy: gradual fills, staged arrivals, and dense gatherings.
 - Edge cases: brief occlusions, objects with similar thermal signature, and environmental disturbances.
 
Calibration and ground truth
Calibration ensures sensor outputs map to known conditions. Labs commonly use:
- Temperature references and blackbody targets for thermal sensors.
 - Synchronized ground truth from non-identifying systems (pressure mats, anonymized motion sensors) to avoid privacy violations.
 - Repeated baseline measurements to detect drift.