Best Office Occupancy Sensors 2026: Top Picks for IT Teams
The right office occupancy sensor tells you exactly how your space is being used, which floors are underutilised, which meeting rooms are ghost-booked, and how your desk-to-headcount ratio holds up in practice. The wrong one generates inaccurate data, creates privacy concerns, and sits unused after the pilot. This guide compares the strongest occupancy sensing platforms for 2026, with specific attention to accuracy, privacy architecture, and what integration with your existing tools actually looks like.

Quick verdict
Density leads on accuracy for desk-level sensing with a genuinely privacy-safe approach (no cameras, no images). VergeSense is the strongest enterprise choice when you need camera-based analytics with rich spatial insights. Cisco Meraki MT sensors are the pragmatic choice for organisations already running Meraki networking, simple to deploy, centrally managed. For integration with room booking, Robin and Envoy bundle sensors with their booking platforms and reduce the integration burden.
Who this is for
- IT managers planning a space utilisation measurement programme
- Facilities managers who need data to justify a real estate reduction or desk ratio change
- Organisations rolling out hot-desking and needing live availability data
Types of occupancy sensing technology
| Technology | Accuracy | Privacy | Typical use case |
|---|---|---|---|
| PIR (passive infrared) | Medium (motion only) | High (no image) | Room-level presence |
| Time-of-Flight (ToF) | High (count, not identify) | Very high (no image) | Desk and room counting |
| Camera + AI | Very high | Medium (image captured) | Detailed space analytics |
| CO2/environmental proxy | Low (indirect) | Very high | Rough room usage indication |
| Badge/WiFi/BLE | Low-Medium (location proxy) | Medium (tracks individuals) | Building-level presence |
Density
Density uses Time-of-Flight (ToF) sensors, the same technology used in smartphone face unlock systems, to count people entering and leaving a space. Crucially, ToF sensors capture only depth data, not images. No photos, no video, no identifiable information. This makes Density straightforward to deploy in privacy-sensitive environments (Europe, legal and financial services) where camera-based systems face employee pushback or GDPR complexity.
The Density platform handles desk-level and room-level sensing, and provides a clean analytics API that integrates with Microsoft 365, Google Workspace, and most IWMS platforms. Pricing is per sensor with an annual platform fee, check density.com for current rates. Particularly well suited to organisations that need accurate, granular data and cannot compromise on privacy.
VergeSense
VergeSense takes a camera-based approach with on-device AI processing, images are analysed locally and not stored or transmitted. The system detects people, counts them, and understands spatial context (meeting at a table vs. passing through) without sending identifiable information to the cloud. This is a meaningful privacy safeguard, though camera-based systems still require more employee communication than image-free alternatives.
VergeSense’s strength is richness of data: it can detect not just presence but engagement, posture, and space configuration. For organisations that want to understand how different work modes use space (focus work vs. collaboration), VergeSense provides data depth that simpler sensors cannot match. Enterprise pricing only, contact vergesense.com.
Cisco Meraki MT sensors
The Meraki MT20 (room occupancy) and MT14 (environment) sensors are the pragmatic choice for organisations already managing their network through the Meraki dashboard. Deployment is simple, sensors appear in the Meraki dashboard alongside access points and switches, with no additional software platform required. Integration with Meraki’s location analytics and Microsoft Teams room booking is available.
Trade-off: Meraki sensors use PIR technology, which detects motion rather than counting individuals. They are appropriate for room-level occupancy (is the meeting room occupied yes/no) but not for desk-level counting or headcount data. Check cisco.com/meraki for current sensor models and pricing.
Robin Powered
Robin bundles desk and room sensors with their room and desk booking platform. If you are adopting Robin as your booking system, the integrated sensor approach eliminates a separate vendor relationship and a separate integration project. Robin sensors detect whether a booked room or desk is actually occupied, triggering auto-release of no-show bookings, the “ghost booking” problem that wastes meeting room capacity. Check robinpowered.com for current pricing on the combined booking + sensor offering.
Envoy
Envoy’s occupancy sensors integrate with their visitor management and workplace platform. Like Robin, the value is integration, if you are already using Envoy for visitor management or desk booking, adding Envoy sensors keeps data in one platform. Envoy’s sensing uses PIR technology for room-level detection. Strong for organisations that want a single workplace platform rather than best-of-breed point solutions. Check envoy.com for current pricing.
Disruptive Technologies
Disruptive Technologies (DT) makes extremely small wireless sensors that use a proprietary low-power protocol (Cloud Connector). Their sensors have a 15+ year battery life, which eliminates maintenance overhead for large deployments. DT’s sensor range covers presence, temperature, humidity, proximity, and touch. The Cloud Connector receives signals from up to 200 sensors, making it practical for large floor deployments without complex network infrastructure. Check disruptive.io for current pricing.
Implementation approach that works
- Start with a single floor pilot, 4-6 weeks to validate accuracy and staff acceptance before committing to building-wide deployment
- Define your use case before selecting technology, headcount vs. presence (yes/no) vs. detailed spatial analytics require different sensor types
- Communicate with employees before installing, unexplained sensors generate trust issues; a clear policy prevents problems
- Integrate with existing systems from day one, standalone sensor data that does not flow into your room booking or IWMS platform has limited operational value
- Plan a data review cadence, sensor data is only valuable if someone acts on it. Monthly utilisation reviews with facilities and real estate are the minimum
See also our desk booking software guide and our comparison of room booking systems.