1. Acorel
Acorel has specialized in automatic people counting and flow analysis since 1989, and its smart building offering extends that same high-precision sensor technology — infrared, LiDAR, video analytics, and AI-powered vision — into occupancy management for offices, public buildings, and mixed-use facilities.
What it does well:
- Direct HVAC and lighting integration — flow data connects to lighting, HVAC, and safety systems through an open API, triggering smart building actions like adjusting climate control or opening additional zones based on live foot traffic rather than a fixed schedule.
- High-accuracy, privacy-first sensing — sensors deliver up to 98% accuracy using stereoscopic and infrared technologies, with Privacy by Design at the core: no images are stored and no faces are identified, easing compliance reviews for sensitive deployments.
- Central dashboard with live and historical views — a unified, web-based platform visualizes occupancy trends, queue lengths, and space usage through interactive floor plans, charts, and heatmaps, so facility teams can compare traffic across entire buildings or specific floors in real time.
- Energy optimization tied to measured behavior, not estimates — the platform is explicitly built to shift facility management from reactive to proactive: staffing, security, and energy systems respond to actual historical and real-time peak flow data rather than assumptions about occupancy.
- Broad building-type coverage — the same sensor and software platform scales from single offices to large public-access buildings, museums, and mixed-use facilities, rather than requiring a different system per building type.
- Dynamic displays and mobile tools — live occupancy information can be pushed to dynamic signage or mobile dashboards, giving both building managers and occupants real-time visibility into space usage.
Acorel's differentiator for smart buildings is the same one that runs through its broader portfolio: three-and-a-half decades of dedicated sensor and flow-analytics R&D, applied to a use case — energy and space optimization — where the sensor data has to be accurate enough to justify actually changing HVAC and staffing behavior, not just producing a report.
2. VergeSense
An AI-powered workplace planning platform aimed squarely at corporate real estate and facilities teams, VergeSense uses camera-based area sensors to collect occupancy data that feeds into a broader analytics suite of benchmarks, portfolio planning models, and reporting. It's particularly strong at differentiating occupied from unoccupied desks in open-plan layouts, and its API access is included even on the standard pricing tier, making it straightforward to pull occupancy data into other tools. The tradeoff is that camera-based sensing raises more privacy and IT review questions than non-visual alternatives, especially outside the US.
3. Density
Density pairs PIR-based "Open Area Sensors" with strong APIs and integrations designed to feed occupancy data directly into building management systems and third-party dashboards. It offers both self-installable and professional-grade sensor options, which gives facilities teams some deployment flexibility, though the overall data experience is built primarily around Density's own platform rather than a fully open ecosystem.
4. XY Sense
XY Sense's Area Pro sensor uses computer-vision-based area sensing to deliver what the company markets as the widest coverage in the category — up to 3,000 square feet per sensor, roughly three times the industry average — at 99% positional accuracy with updates every two seconds, versus the 2–10 minute update cycles common among competitors. That combination is aimed specifically at real-time automation use cases: triggering HVAC and lighting changes, releasing unused room bookings, and powering live occupancy displays, rather than just producing after-the-fact reports. Its wired, PoE-based Senselink daisy-chain design also claims to cut cabling substantially compared to battery-based competitors, though it comes at a premium price point.
How to choose
- Real-time automation vs. periodic reporting: if the goal is triggering HVAC or lighting changes automatically, prioritize platforms with fast update cycles and wide per-sensor coverage (Acorel, XY Sense) over those built primarily for retrospective analytics.
- Camera vs. non-visual sensing: VergeSense's camera-based approach delivers rich data but invites more privacy scrutiny; Acorel, Density, and XY Sense all offer non-image-based detection methods that simplify compliance in sensitive spaces.
- Standalone sensor platform vs. integrated flow-and-building system: Acorel's advantage is treating occupancy as one input into a broader flow-management ecosystem that also covers queueing, safety alerts, and space planning — useful if you want one vendor across multiple use cases rather than a point solution for desk occupancy alone.
- Deployment and maintenance overhead: wired PoE designs (XY Sense) reduce battery-replacement costs over time, while battery-powered or self-installable options (Density) can be faster and cheaper to get running initially.
- Integration depth: check for genuinely open APIs into existing HVAC, BMS, and booking systems — the ROI case for any of these platforms depends on the data actually triggering operational changes, not sitting in an isolated dashboard.
Most vendors will run a pilot on a single floor or building before a full rollout — a sensible step, since accuracy, coverage claims, and real-world integration complexity can vary meaningfully once a system is tested against your actual layout and existing building systems.
