Workplace occupancy sensors show you what’s really happening in your building. They count people, measure how long they stay, and highlight which spaces get used and which go empty. There’s no one-size-fits-all sensor. The best option depends on your goals. Maybe you need a quick occupied or vacant status. Maybe you want an exact headcount or room-by-room detail. Maybe you care about traffic and dwell patterns. This guide breaks down the six main sensor types, explains what each does well, points out their gaps, and helps you pick the right fit for your workplace.
Before you choose a sensor, get clear on the data you want. Each sensor delivers a unique dataset. Not every sensor can give you every metric.
The core data points you’ll get from sensors:
A PIR sensor will tell you if a room’s occupied. It won’t tell you how many people are inside. A Wi-Fi sensor estimates crowd size on a floor but won’t reliably say if a specific room is busy. Occuspace’s occupancy data covers core metrics - occupancy, traffic, and dwell time - with both live counts and rich historical analytics in one spot. That’s rare among platforms.
Most workplaces have two main data streams already: booking systems and badge logs. But neither shows you real usage inside a room.
Bookings show intent. Maybe someone reserved a room for ten at 2pm. That’s their plan, not actual use. Industry no-show rates hit 18-25%, so a booked calendar doesn’t mean full rooms.
Badge logs show building entry. Someone swiped in at 8:47 am. But then what? You don’t know which space they used or for how long. Badge data often overestimates occupancy by 15-20% because people badge in and leave. It’s common.
Sensors deliver the missing piece: actual presence. They answer questions bookings and badges can’t. Microsoft Places relies on this same logic - separating what was planned from what really happened. Sensors bridge that gap.
The smartest approach combines all three: bookings for plans, badges for entry, and sensors for real-time presence. Together, you’ll spot ghost meetings, no-shows, and unbooked but busy spaces.
Start with the question you want to answer. Then match the sensor to your need.
You’ll see these six sensor types in most workplace projects: PIR, ultrasonic, dual-technology, camera/computer vision, Wi-Fi and BLE sensing, and mmWave radar. Some offices use thermal imaging or LiDAR, but these are less common. Let’s focus on the six that matter most.
PIR sensors pick up changes in infrared energy - basically, body heat in motion. Someone enters the sensor’s view, it logs presence. No movement, no detection.
They’re the baseline option and budget-friendly, usually $50-100 each. Great for lighting control in private offices or small rooms. DOE FEMP guidance counts PIR as a leading sensor type, but it needs a clear line of sight to work.
The biggest limitation? PIR won’t sense someone sitting still. If someone’s quietly reading in a meeting room, the sensor might miss them. So, it’s a poor pick for deeper analytics or accurate people counts - it only registers motion.
Best fit: Closed spaces with auto-off lighting goals. Not suited for detailed analytics.
Occuspace doesn’t rely on PIR for analytics, but it’s still handy for low-cost lighting controls where basic presence is all you need.
Ultrasonic sensors emit high-frequency sound waves and detect shifts when something moves. They respond to even small movements - like a hand gesture - and don’t need line-of-sight.
That makes them better than PIR in oddly shaped or partitioned rooms. But airflow, HVAC noise, or air currents can trigger false alarms. DOE FEMP has ultrasonic as a top pick with improved sensitivity, but notes the risk of interference.
Best fit: Places where small movements matter and you mainly want presence, not people counts. Useful in restrooms or storage rooms with complex layouts.
Dual-technology sensors combine PIR and ultrasonic - or sometimes microphonic - detection. They activate presence only when both signals agree, which cuts false positives from sunlight or drafts.
They cost more - usually $150-250 apiece - and reduce nuisance triggers. But DOE FEMP warns they can miss people when both signals don’t match, especially if someone’s sitting still. This causes false "vacant" readings, which isn’t great for meeting rooms.
Best fit: Enclosed or partitioned spots where false-on lighting costs you money and you only need basic presence detection. Not for analytics.
Cameras and computer vision deliver detailed people counts, flow, and directional data. They shine in high-traffic entry points or secure zones.
But cameras bring big privacy and compliance responsibility. They capture a lot - faces, text, even backgrounds. That triggers GDPR and CCPA exposure and may erode employee trust. DOE FEMP also points out camera sensors need more power and wired setups.
Best fit: Detailed counting at entrances or in retail, where privacy controls are already strong and the data is worth it. For most office analytics, camera-free solutions handle the job without risks.
Occuspace skips cameras entirely. No cameras, no personal data, no images - ever.
Wi-Fi and BLE sensors scan for device signals in a space and estimate how many people are there. They don’t connect to or identify devices - they just count signals.
This method excels in big areas - open floors, lobbies, libraries, or dining zones - and setup is fast, often with existing infrastructure. The main catch is that device and people counts may differ. One person could have both a phone and laptop, or someone may not carry a device at all. MAC address randomization also complicates long-term tracking.
That’s where Occuspace Macro sensors lead. Macro sensors spot BLE and Wi-Fi signals across broad areas. They hash MAC addresses instantly on the device, never storing raw data. Machine learning de-duplicates signals for accurate counts without any personal info. If you use HPE Aruba, Occuspace integrates directly, leveraging your Wi-Fi for even better results.
Macro sensors are the right pick for lobbies, open floors, or shared areas where you want overall trends, not hyper-local detail.
Best fit: Big zones, fast deployment, trend analysis. Pair with room-level sensors for a complete picture.
mmWave radar scans the 30-300 GHz range. It detects presence by watching how signals bounce around, even picking up on tiny movements like breathing. It spots people PIR would miss, especially if they’re sitting still. Texas Instruments shows mmWave can count people and spot still users without cameras, making it perfect for meeting rooms or quiet spaces.
Occuspace Micro sensors use mmWave to watch small rooms and shared spaces. They show you people in real time, cover 400 square feet, and have a wide, 19-foot range. They use power (no batteries), need no dedicated Wi-Fi, and install in 15 seconds. And there’s no risk to privacy.
Micro is designed for meeting rooms, phone booths, and huddle spaces where people come and go quickly - and you really need to know exactly who’s using the space, and when.
Best fit: Small closed rooms where you care about still-person detection and fast occupancy changes. The best choice for meeting room data without privacy worries.
There's no single perfect sensor. The right choice depends entirely on the data you need and the budget you set. Here's a quick breakdown of your options and how they stack up.
Occuspace’s real advantage isn't just the individual sensor - it's the complete system. Both Macro and Micro sensors connect to one analytics platform. You get big-picture trends and precise room-level details all in one place. Your data stays consistent and flows smoothly through a single API for immediate access.
Running three data sources alone creates three blind spots. The fix? One clear view where each data set fills in what the others miss.
Occuspace's truth model puts it like this:
Bringing it together gives you answers you can’t get any other way.
This isn’t about another dashboard. It’s about a single source of truth that lets you act with confidence.
Effective capacity management means knowing your true peak and average loads. It lets you see exactly which areas are full, reclaim unused rooms, and sync your insights directly with your building operations.
The right tools fall into a few key categories:
Occupancy sensors superpower your entire tech stack. Reliable, real-time presence data brings your bookings and badges to life.
Occuspace anchors your system. Macro sensors cover wide-open spaces, and micro sensors handle small meeting rooms. This gives you live occupancy data running 24/7. From there, our analytics and Customer API plug that rich data straight into your dashboards, building automation systems, digital signage, and workflow tools. Other platforms make great add-ons, but they thrive on the foundational occupancy data Occuspace delivers.
Occuspace works best when you need more than a single sensor doing a single job.
You get broad, camera-free occupancy and traffic insights, small-room analytics with no battery hassles, everything live and historical through one platform, and all your data available via API for easy integration. It’s simple - no extra tools or complexity.
The live data module gives you real-time counts, percent occupancy, and busyness for every space. The analytics tools show average and peak occupancy, traffic counts, and dwell time - all down to every 15 minutes. Access everything online or through the API.
Sensors go live in 1-2 days. Macro sensors plug in and start working within minutes. Micro sensors install in 15 seconds - no batteries, no cables, no Wi-Fi headaches. Most Occuspace users see 2-3x ROI in year one from better energy use and space planning.
There’s a clear difference between understanding how people use a space and monitoring who they are. Most teams just want usage, not tracking.
Cameras make this tricky. They collect images, faces, and details nobody needs, which brings GDPR and CCPA risks. Once trust is gone, it’s hard to win back.
Camera-free sensors - like PIR, ultrasonic, Wi-Fi/BLE, and mmWave - only measure space, not people. Occuspace collects zero personal data. Macro sensors instantly hash MAC addresses with rotating salts - no raw data, ever. Micro sensors use mmWave and never collect personal details at all.
When shopping, ask about data retention, role-based access, encryption, and audit trails. Occuspace is fully GDPR and CCPA compliant. It’s built to make individual tracking impossible - not just discouraged.
Hardware gets you started, but it’s the metrics that drive better decisions.
You’ll find all these metrics in Occuspace’s analytics portal or through the API. No need to juggle multiple tools.
Workplace sensors come in six types: PIR, ultrasonic, dual-technology, camera/computer vision, Wi-Fi/BLE, and mmWave radar.
PIR and dual-technology sensors are low-cost picks for lighting and simple presence, but don’t count people or catch still occupants. Ultrasonic senses minor movements, not deep analytics. Cameras deliver detail but demand big privacy compliance efforts. Wi-Fi and BLE handle big areas and fast deployment, but device counts aren’t ideal as people counts. mmWave is perfect for small rooms and accurate, privacy-first presence detection.
No one sensor fits every need. Match your sensor choice to your goal: PIR for lighting, Wi-Fi/BLE for open areas, mmWave for meeting rooms and booths.
Combine badge, booking, and sensor data for a clear picture. Bookings show plans, badges log arrivals, and sensors confirm presence. Together, you’ll uncover no-shows, ghost meetings, and real trends.
Occuspace offers both broad and room-level analytics - no cameras, no personal info. Macro sensors scan large spaces with Wi-Fi and BLE. Micro sensors watch small rooms with mmWave. Both deliver live data, analytics, and API access. You’ll be up and running in days, not months - and you’ll have data you can use from day one.
