Smart Office Sensors: Occupancy, Air Quality and How to Use the Data

Smart office sensors have graduated from novelty to practical infrastructure. The economics work now: wireless sensors are cheap, batteries last years, and every major workplace management platform has an integration layer ready to consume the data. What hasn’t changed is the question of what to actually measure, and what to do with it once you have it.

This guide is for IT managers and facilities leads evaluating or deploying office sensor infrastructure, without the IoT hype.

Quick verdict

Start with occupancy. It’s the data that drives everything else: space planning, cleaning schedules, room booking, energy management, and hybrid work policy. Air quality monitoring is a strong second investment, CO₂ levels and temperature directly affect cognitive performance, and the data is easy to act on. Don’t start with advanced people-counting or presence analytics until the basics are delivering value.

What sensors are actually worth deploying

Occupancy sensors

Occupancy sensors detect whether a space is in use. The technology varies significantly in accuracy and privacy implications:

• PIR (passive infrared): detects heat movement. Cheap, widely used, but goes false-negative if someone sits still. Good for rooms, unreliable for open plan desks.
• Radar / microwave: detects motion via electromagnetic waves, including subtle movements like breathing. More accurate for seated occupancy than PIR. Growing in adoption for meeting rooms.
• Time-of-Flight (ToF): uses reflected light to measure distance and detect presence. Accurate for small spaces (meeting rooms, phone booths) without capturing identifiable information.
• Thermal imaging: anonymised people-counting using heat signatures. Privacy-safe and accurate, but higher cost per sensor. Used for entrance counting and large open areas.
• Computer vision / camera-based: most accurate but most privacy-sensitive. Appropriate in some retail or security contexts; generally not suitable for workplace occupancy monitoring without explicit employee consent and policy frameworks.

For most offices, radar or ToF sensors for meeting rooms and desk-mounted sensors for hot-desking areas deliver the best accuracy-to-cost ratio.

Air quality sensors

Indoor air quality has a direct, measurable impact on cognitive performance. The metrics that matter:

• CO₂ (carbon dioxide): the primary indicator of ventilation adequacy. Above 1,000 ppm, decision-making performance measurably degrades. Above 2,000 ppm, complaints about stuffiness become common. Target: under 800 ppm in occupied spaces.
• VOCs (volatile organic compounds): emitted by furniture, cleaning products, and printers. Linked to headaches and fatigue at elevated levels. Good air quality monitors include VOC sensors.
• Temperature and humidity: comfort range for office work is 20–24°C, 40–60% relative humidity. Deviations cause productivity loss and complaints before HVAC tickets are raised.
• PM2.5 (fine particulate matter): relevant in environments near roads, manufacturing, or with older HVAC systems. Less commonly monitored but worth including in high-pollution urban environments.

What to skip (for now)

Noise level sensors, light level sensors, and advanced presence tracking with individual identification have specific use cases but add complexity without delivering proportionate value at most organisations. Get occupancy and air quality working first.

Deployment considerations

Installation

Modern wireless IoT sensors (LoRa, Zigbee, Bluetooth, or Wi-Fi depending on platform) install in minutes per location. Battery life typically runs 2–5 years. A 20,000 sq ft floor usually needs 8–15 sensors for comprehensive coverage of meeting rooms, open plan areas, and common spaces. Most deployments can be done during business hours without disrupting operations.

Check gateway requirements for your chosen platform, some use proprietary gateways (add per-floor cost), others use standard Wi-Fi infrastructure you already have.

Network and security

Sensor traffic is low-bandwidth but should be on a segregated VLAN or IoT network segment. Ensure sensors use encrypted communications (TLS/DTLS) and that firmware update mechanisms are available, IoT devices that can’t be patched become security liabilities. Ask vendors for their CVE response history and firmware update policy before purchasing.

Privacy

For occupancy and air quality sensors that don’t capture images or individual identifiers, the privacy surface is low. Document your deployment in a DPIA (Data Protection Impact Assessment) regardless, it’s good practice and may be required under GDPR. The sensor data itself (room X was occupied at time Y) is not personal data, but correlating it with access control or badge data is, don’t do this without legal review.

How to use the data

Space utilisation

The primary business case for occupancy sensors is answering: are we using our office space efficiently? Most organisations discover they’re significantly over-provisioned, average meeting room utilisation in UK offices runs around 30–40%. Sensor data gives you evidence-based answers for:

• How many desks do we actually need for our hybrid headcount?
• Which meeting room sizes are used most? Are large boardrooms sitting empty?
• Are certain areas consistently over-capacity while others are empty?
• When is the office genuinely busy vs. when do we just assume it is?

Room booking and ghost meetings

Ghost meetings, bookings where no one shows up, waste significant space. Occupancy sensors integrate with room booking systems to automatically release rooms if no presence is detected within 5–10 minutes of a booking starting. This alone can recover 15–20% of meeting room capacity in most offices. Platforms like Robin, Condeco, and Joan all support this via sensor integration.

Air quality response

CO₂ and temperature data become useful when they trigger actions:

• Automated HVAC adjustment when CO₂ exceeds threshold (requires BMS integration)
• Alerts to facilities team when a room exceeds 1,200 ppm, meeting can continue but ventilation should be checked
• Display live air quality on room booking panels or digital signage, gives employees agency to choose better-ventilated spaces
• Historical data to identify systemic HVAC problems (a meeting room that always runs hot is probably a HVAC balancing issue, not a coincidence)

Digital signage integration

Sensor data feeds naturally into digital signage displays. Showing live occupancy and air quality on lobby screens, wayfinding displays, or meeting room panels turns passive data collection into something employees actually use. Most signage platforms with API access (including TDM Signage and ScreenCloud) can pull JSON data feeds directly from sensor management platforms.

Platform options

Several sensor management and workplace analytics platforms aggregate data from multiple sensor types:

• Butlr: thermal occupancy sensors with a clean analytics dashboard, privacy-first (no camera, no individual tracking). Well-regarded in enterprise deployments.
• Kaiterra: dedicated air quality monitoring platform with strong HVAC integration capabilities. Used in large office buildings and healthcare facilities.
• Milesight: broad IoT sensor hardware line (occupancy, environment, people counting) with LoRaWAN support. Good value for multi-sensor deployments.
• Cisco Spaces / Meraki: if your network infrastructure is Cisco Meraki, the integrated occupancy and location data is a natural extension rather than a separate sensor layer.
• Microsoft Places: Microsoft’s workplace analytics product integrates with sensor data alongside Teams and calendar data for a unified picture of office usage.

Verify current pricing and integration capabilities directly with vendors, this space evolves quickly.

What good looks like after 6 months

A successful sensor deployment after 6 months should give you:

• Real utilisation data per room and zone, not assumptions
• A reduction in ghost meeting room bookings via auto-release
• At least one actionable HVAC or space planning decision backed by data
• CO₂ and temperature baselines across your estate, so you know what’s normal and can spot anomalies

If you’re not using the data to make decisions, the sensors become expensive IoT shelf ornaments. Build the data review into your facilities management cycle before you deploy.

Bottom line

Smart office sensors are no longer a future-state investment, they’re practical, cheap to deploy, and integrate with every major workplace platform. Start with occupancy in meeting rooms and air quality across the office. Use the data for space planning, ghost-meeting reduction, and HVAC optimisation. Keep the privacy model simple and documented. Don’t buy more sensor types than you have the capacity to act on.

For related reading, see the IT manager’s checklist for hybrid office setup and best workplace management software in 2026.