Workplace occupancy sensors vary widely in accuracy, cost, and privacy impact.
Some provide desk-level data precise enough to validate individual bookings. Others detect only whether a space is in use. The right choice depends on what decisions the data needs to support.
This guide covers the main sensor types, where each works well, where it falls short, and how to match sensors to specific workplace goals.
Types of office occupancy sensors
The main types of office occupancy sensors are passive infrared (PIR), time-of-flight (ToF), camera-based, thermal, ultrasonic, desk occupancy, and environmental. Each captures different data — from binary presence to precise people counts — and suits different spaces, budgets, and privacy requirements. Most deployments use a combination of two or three types.
Passive infrared (PIR) sensors
PIR sensors detect motion through heat signatures. They are the most affordable option and work well for basic presence detection in enclosed spaces.
What they are good for: Small rooms where only a binary occupied or vacant signal is needed, such as single-person offices or small meeting rooms.
Where they fall short: PIR sensors cannot count people or track duration reliably. If someone sits still, the sensor may register the room as vacant. They also struggle in open-plan areas where movement patterns are complex.
Cost: Low (€30–€80 per unit)
Time-of-flight (ToF) sensors
ToF sensors use infrared light to measure distance and detect movement. They can count people passing through a defined area without capturing any identifying information.
What they are good for: Corridors, entrances, and foot traffic analysis where privacy is a priority and flow patterns matter more than individual occupancy.
Where they fall short: More expensive than PIR and less detailed than camera-based systems. Accuracy depends on mounting height and field of view.
Cost: Medium (€100–€200 per unit)
Camera-based sensors
Camera-based sensors use computer vision to count people, track movement, and detect activity patterns. They offer the highest level of occupancy detail of any sensor type.
What they are good for: Large spaces where precise people counts matter, such as lobbies, cafeterias, and major meeting areas.
Where they fall short: Privacy concerns are common. Even when sensors communicate only aggregated data points, an optical sensor can create employee anxiety. Ceiling-mounted installations may also require new ethernet cabling.
Cost: High (€300–€500+ per unit, plus software licensing)
Thermal sensors
Thermal sensors detect heat signatures without capturing visual data. They work in low-light conditions and are often used as a privacy-friendly alternative to camera-based systems.
What they are good for: Occupancy tracking combined with HVAC optimisation. When connected to a building management system, thermal sensors can trigger heating or cooling based on actual occupancy rather than scheduled use.
Where they fall short: Lower accuracy than visual sensors. Heat from laptops, projectors, or sunlight through windows can produce false positives.
Cost: Medium (€150–€300 per unit)
Ultrasonic sensors
Ultrasonic sensors use sound waves to detect presence and movement. They provide wide coverage and can detect activity around corners and obstacles.
What they are good for: Large open-plan areas where line-of-sight sensors would miss activity.
Where they fall short: HVAC noise, conversations, and furniture can all affect accuracy. They cannot count people or provide granular utilisation data.
Cost: Low (€40–€100 per unit)
Desk and seat occupancy sensors
Small sensors placed on or under desks to detect whether a specific workspace is occupied. These are the most widely deployed sensor type in hot-desking and activity-based working environments.
What they are good for: Desk-level tracking, booking validation, and identifying chronically underused workstations. When connected to a workplace occupancy platform, they enable real-time availability displays and automate no-show release policies.
Where they fall short: Battery maintenance at scale becomes a facilities burden. An office with 500 desks requires managing 500 battery replacement cycles. Costs also add up quickly across large deployments.
Cost: Low to medium (€50–€150 per unit)
Environmental sensors
Environmental sensors track CO₂ levels, humidity, temperature, and air quality. They do not measure occupancy directly but provide data relevant to employee comfort and wellbeing.
What they are good for: Indoor air quality monitoring and compliance with wellness standards. In hybrid workplaces, demonstrating commitment to employee health can influence office attendance rates.
Where they fall short: Environmental sensors cannot tell you how space is used. They must be paired with an occupancy sensor type to provide a complete picture.
Cost: Low to medium (€60–€200 per unit)
Sensor comparison: quick reference
Where sensor projects fail: integration
Sensor hardware is only useful if the data reaches the people who need it. Integration challenges are the most common reason workplace analytics projects fail to deliver on their goals.
Open versus closed ecosystems
Some sensor vendors lock data behind proprietary dashboards. This works for a single sensor type in a single building, but it breaks down at scale.
Organisations with multiple locations or diverse sensor types need open APIs so data can flow into a unified platform. A sensor-agnostic occupancy platform allows the best hardware to be selected for each use case without being tied to one vendor's analytics layer.
Data formats and protocols
Different sensor vendors use different protocols: MQTT, REST, BACnet, or proprietary formats.
Without standardisation, each new sensor type requires custom integration work. Organisations that succeed either choose sensors with open APIs or use a platform that handles the translation layer between hardware and analytics.
Real-time versus batch data
Some sensors stream data continuously. Others send updates at intervals.
For live availability displays, real-time data is essential. For space planning and lease decisions, batch updates are usually sufficient.
Security and IT approvals
Sensors connect to corporate networks. That means IT approvals, security reviews, and compliance checks.
Projects stall when vendors cannot provide documentation on encryption standards, data access models, or vulnerability management. Successful deployments involve IT from the start and choose vendors with enterprise-grade security credentials.
Total cost of ownership
The upfront price of a sensor is only part of the cost. True total cost of ownership includes installation, ongoing maintenance, software licences, and the time spent managing the deployment at scale.
Hardware and installation
Sensors range from €30 to €400+ each. Installation costs vary significantly depending on the sensor type.
Power over Ethernet sensors often require ceiling access and cabling work, which adds substantially to installation costs beyond the hardware itself. Battery-powered sensors avoid this but require ongoing battery management.
Maintenance and lifecycle
Battery life determines replacement schedules and facilities team workload. Devices that require frequent recalibration or firmware updates also raise support costs over time.
Sensor health monitoring is essential at scale. Malfunctioning sensors produce bad data, and decisions based on bad data can be worse than decisions made with no data at all.
Software licences and subscriptions
Many vendors charge per sensor per month for data access or analytics. These costs compound over time and across large portfolios.
Calculating a five-year total cost of ownership, not just year-one hardware and installation costs, gives a more accurate picture of what a sensor programme will actually require.
How Mapiq uses occupancy sensor data
Mapiq works with organisations that have clear goals around employee experience or real estate optimisation. Here is how sensor data translates into action.
Validating desk bookings
Employees book desks but do not show up. Others arrive to find their booked desk occupied.
Desk occupancy sensors detect whether a booked workspace is actually in use. When sensor data shows a no-show, automated release policies make the space available to others. Booking accuracy increases and workplace teams gain visibility into no-show rates to inform policy decisions.
Real-time availability for hybrid teams
In hybrid environments, employees often do not know which colleagues are in the office or where available workspaces are.
Mapiq aggregates real-time data from sensors, Wi-Fi check-ins, and badge systems, displaying live availability on 2D and 3D maps. Employees see which desks, meeting rooms, and neighbourhoods are available before they arrive.
Meeting room optimisation
Large meeting rooms are frequently booked by small teams. Rooms sit empty despite being reserved.
People-counting sensors in meeting rooms, combined with calendar data, identify rooms consistently booked for more attendees than actually attend. Workplace teams can reconfigure spaces and introduce booking rules to reclaim underused real estate.
Space planning and rightsizing
Many organisations lack visibility into which floors, buildings, or neighbourhoods are underutilised. Lease decisions end up based on headcount rather than actual occupancy.
Mapiq combines sensor data, Wi-Fi attendance, and booking patterns into an analytics platform. Workplace leaders can compare occupancy across buildings and model scenarios for consolidation or subleasing.
How to choose the right occupancy sensor
Sensor selection should start with the decisions the data needs to support, not with the technology itself.
Step 1: Define your data needs
- Do you need binary occupancy (occupied or vacant) or precise people counts?
- Are you tracking desks, meeting rooms, open areas, or all three?
- Do you need real-time data for live availability displays, or is historical data sufficient for planning?
Step 2: Assess technical constraints
- Does your building support Power over Ethernet, or do you need wireless sensors?
- What are your IT department's requirements for network-connected devices?
- Are there privacy regulations or employee concerns that rule out camera-based options?
Step 3: Match sensors to use cases
- Room presence: PIR or ultrasonic sensors
- Desk utilisation: Battery-powered wireless desk sensors
- People counting: Camera-based or ToF sensors
- Open-area monitoring: Thermal or ultrasonic sensors
- HVAC optimisation: Thermal sensors with building management integration
Step 4: Plan for integration and scalability
- Choose sensors with open APIs, or use a platform that handles integration across sensor types
- Calculate five-year total cost of ownership, not just upfront hardware and installation
- Establish sensor health monitoring before deploying at scale
Step 5: Pilot, then scale
Start with a single floor or building. Validate data quality, test the use cases that matter most, and refine the approach before expanding across the portfolio.
Frequently asked questions about office occupancy sensors
What is the most accurate type of office occupancy sensor?
Camera-based sensors using computer vision provide the highest accuracy for people counting and activity detection. They are best suited to large spaces where precise counts matter and where employees have been informed about the privacy implications of camera-based technology.
Which occupancy sensor works best for individual desks?
Battery-powered wireless desk sensors placed under each workstation are the standard choice for hot-desking environments. They detect whether a desk is in use in real time, support automated no-show release policies, and integrate with most workplace occupancy platforms.
How do occupancy sensors protect employee privacy?
Most modern occupancy sensors do not capture video or identify individuals. PIR, thermal, ToF, and desk sensors transmit only occupancy signals or aggregated counts. Camera-based sensors that use computer vision process video locally and transmit only data points. Privacy policies and data governance should be communicated clearly to employees before deployment.
How many sensors does a typical office need?
The number depends on the space types being monitored. A general approach: one desk sensor per workstation for hot-desking environments, one room sensor per meeting room, and one people-counting sensor per entrance or corridor junction. Most deployments mix sensor types based on the data needed in each zone.
What is total cost of ownership for workplace sensors?
Total cost includes hardware, installation, ongoing maintenance, software licences, and IT overhead. Battery replacement schedules, sensor health monitoring, and per-sensor subscription costs all add to the five-year total. Calculating TCO before committing to a sensor type avoids budget surprises once a deployment scales.
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