The modern UK office in 2026 is a hybrid, energy-conscious environment where understanding how desks are used matters for productivity, comfort and cost. Desk occupancy sensors provide the data facilities, estates and workplace teams need to optimise space, control HVAC and lighting, and support hot-desking. This guide explains what to look for when choosing desk sensors, with practical checklists and deployment tips tailored to UK organisations.
What desk occupancy sensors do (and key terms)
Desk occupancy sensors detect whether a workspace is in use. They feed data into software dashboards, room-booking systems and building management systems (BMS).
- Occupancy detection: identifies whether a space (desk, room) is occupied.
- Motion detection: senses movement; useful but may not indicate continuous presence.
- PIR (passive infrared): a common motion sensor that detects heat changes.
- Thermal sensor: measures heat signatures without producing camera images; often used for privacy-first sensing.
- Edge processing: local AI/processing on the device to transform raw signals into useful events before sending data to the cloud.
Understanding these terms helps you evaluate different sensor types and their trade-offs for accuracy, privacy and integration.
Key selection criteria
1. Detection performance and sensor type
Choose sensors that match the occupancy behaviours you need to capture.
- Consider sensor technology: PIR, thermal, ultrasonic, capacitive, or camera-based.
- Look for sensors that detect both presence and duration, not just motion.
- Check detection range, field of view and sensitivity tuning.
Questions to ask:
- What technologies are used and why?
- What is the real-world detection accuracy (false positives/negatives)?
- Can sensitivity be adjusted for different desk layouts?
2. Privacy and data protection
Privacy-first design minimises risk and increases staff acceptance.
- Prefer camera-free or anonymised sensors that do not capture identifiable images.
- Verify data minimisation: only collect what’s needed and aggregate where possible.
- Check retention policies and whether processing happens on-device (edge) or in cloud.
Questions to ask:
- How is Personally Identifiable Information (PII) prevented or anonymised?
- Does the device perform edge processing to avoid raw data transfer?
- What data retention and deletion options are available?
3. Integration and interoperability
Sensors should work with booking systems, analytics tools and BMS.
- Support for standard protocols (e.g., MQTT, BACnet, REST APIs) eases integration.
- Check compatibility with workplace apps, room-booking software and energy controls.
- Open APIs and documentation speed up custom integrations.
Questions to ask:
- Which protocols and integrations are supported out of the box?
- Are there SDKs or APIs with examples for common systems?
- Is there a roadmap for new integrations?