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Sensors Lab: Butlr Sensor Performance & Validation
Butlr sensors are validated through lab-based protocols that measure occupancy detection, sensitivity, and coverage compared to PIR, CO2, and camera systems. This section summarizes test methods, benchmark results, and calibration practices useful for research labs and independent evaluations.
Why this matters
- Provides repeatable, instrumented test methods for occupancy and motion detection.
 - Demonstrates performance trade-offs versus other sensing modalities.
 - Supports procurement and research decisions with quantified metrics.
 
Lab test protocols and methods
- Test environment setup: controlled-temperature room, variable occupancy scenarios (single person, small group, transient movement), adjustable mounting heights.
 - Metrics captured: detection accuracy, false positive/negative rate, time-to-detection, coverage footprint, and sensitivity across thermal gradients.
 - Calibration procedures: baseline thermal offset checks, multi-point sensitivity verification, and validation against ground-truth video or manual logs (preserving privacy by treating video as validation only).
 
Accuracy & comparative benchmarks
- Typical results: high detection accuracy for presence and motion without imaging, robust performance in low-light and obscured line-of-sight conditions where cameras and PIR may degrade.
 - Comparisons: CO2 sensors show longer lag for occupancy changes; PIR struggles with small, slow-moving occupants; cameras provide higher granularity but introduce privacy and infrastructure concerns.
 - Key takeaway: Butlr trades sub-centimeter location precision for reliable, anonymous occupancy metrics that are fast to deploy and privacy-preserving.
 
Downloads and assets
- Independent lab test report (full results and raw CSV summaries)
 - Sensor technical datasheet (mounting, wiring, wireless specs)
 - Calibration & test protocol PDF (step-by-step lab setup)
 
Case study / testimonial
"We ran parallel trials in our facilities lab and found Butlr provided the most consistent occupancy counts across different room types while maintaining privacy requirements." — Building Research Lead, University Facilities
Strong CTA: Request the full lab test report or schedule a lab validation sensor to run side-by-side tests in your facility.
Virtual Lab: Model & Simulate Butlr Sensors
The virtual lab lets teams simulate sensor placement, coverage, and anonymized occupancy outputs across floorplans. It’s designed for planning pilots, training operators, and exploring integration scenarios without hardware first.
Why this matters
- Reduces trial-and-error on physical installs and accelerates pilot planning.
 - Enables stakeholder alignment with visual simulations and expected analytics.
 - Offers a safe environment to validate privacy-preserving outputs before deployment.
 
What the virtual lab/demo includes
- Floorplan modeling: upload or sketch a room, choose sensor types and mount heights, and place virtual sensors to visualize coverage heatmaps.
 - Occupancy scenarios: set occupant numbers, motion patterns, and dwell times to observe anonymized detection events and aggregated metrics.
 - Integration sandbox: sample anonymized data streams to test ingestion into building analytics platforms and dashboards without revealing personally identifiable information.
 
Developer & API sandbox (overview)
- Simulated outputs include time-series occupancy counts, zone-level utilization percentages, and anonymized motion events.
 - Designed for integration testing: download sample datasets or push simulated streams to a local analytics pipeline to verify dashboarding and alerts.
 - Educational use: deploy classroom modules that demonstrate how heat-based sensing differs from cameras, CO2, and PIR in response time and privacy profile.
 
Downloads and assets
- Virtual lab feature spec and dataset samples (CSV)
 - API sandbox overview and sample data descriptions
 - Classroom kit and instructor guide for hands-on workshops
 
Case study / testimonial
"The virtual lab helped facilities visualize sensor density needs and convinced our stakeholders that a wireless deployment would meet coverage requirements." — Director of Facilities, Mid-size Research Institute
Strong CTA: Launch the virtual demo or request simulated datasets to validate your analytics pipeline before ordering hardware.
Lab Sensors for Research & Facilities
Butlr lab sensors are positioned for research-grade building studies and facility programs that require reliable, privacy-first occupancy data. This page guides procurement, deployment planning, and side-by-side comparisons for lab-use and long-term monitoring.
Why this matters
- Delivers lab-grade repeatability with field-hardened hardware for real deployments.
 - Preserves occupant privacy by design with anonymous, non-imaging heat-sensing.
 - Simplifies procurement and pilot planning with clear checklists and validated performance metrics.
 
Why choose heat-based lab sensors
- Privacy-first: non-imaging thermal sensing produces occupancy and motion metrics without capturing identities.
 - Robustness: works in darkness and through common occlusions that hinder cameras and PIR sensors.
 - Deployment flexibility: available in wireless and wired configurations to suit retrofit or new-build environments.
 
Comparison: lab sensors for occupancy (high level)
- Butlr (heat-based): fast detection, anonymous outputs, low infrastructure complexity, strong privacy posture.
 - Camera-based systems: high spatial granularity, privacy challenges, higher bandwidth and storage needs.
 - CO2 sensors: useful for ventilation analysis but slow to reflect occupancy changes and sensitive to room mixing.
 - PIR sensors: low cost, limited sensitivity to stationary occupants, and variable coverage patterns.
 
Procurement & deployment checklist
- Define objectives: occupancy counting, space utilization, HVAC control, or compliance reporting.
 - Select sensor types: wireless for quick pilots, wired for permanent or high-density deployments.
 - Pilot plan: sensor count estimation via virtual lab, staged rollouts, and success criteria for accuracy and integration.
 - Integration readiness: verify data format requirements, analytics endpoints, and security/privacy controls.
 
Downloads and assets
- Procurement checklist PDF for lab and campus deployments
 - Product comparison sheet (feature and performance summary)
 - Sample contract terms and pilot evaluation template
 
Case study / testimonial
"We used the procurement checklist to scope a 200-room pilot and reduced deployment time by 40% while keeping all data anonymized for compliance." — Senior Facilities Manager, Healthcare Campus
Strong CTA: Request a procurement kit, request a pilot quote, or ask for a trial sensor to evaluate in your lab or building.