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The modern UK office in 2026 is hybrid, flexible and data-driven. Occupancy sensors enable efficiency, comfort and safety by detecting presence, movement or density and converting that into digital signals for analytics and automation.
What is an occupancy sensor?
An occupancy sensor detects the presence, movement or density of people in a space and converts that into digital signals for analytics and automation.
Common sensing modalities include:
- Thermal sensors: detect heat signatures rather than visual imagery.
- Passive infrared (PIR): sensitive to motion and heat changes.
- Camera-based vision systems: use image or video analysis.
- Radio-based tracking: uses Wi‑Fi, Bluetooth or UWB signals from devices.
Define briefly:
- Privacy-first: design choices and technical measures that minimise collection of personally identifiable information (PII) and prevent individual identification.
- Edge processing: analyzing data on the device or local gateway to avoid sending raw data off-site.
- DPIA (Data Protection Impact Assessment): a UK GDPR requirement for high-risk processing of personal data.
Why privacy-first matters in the UK (2026)
UK data protection continues to emphasise individual rights; buyers should prioritise privacy to reduce legal risk and preserve staff trust.
- UK GDPR and the Data Protection Act 2018 require lawful bases for processing personal data and appropriate safeguards.
- The ICO (Information Commissioners Office) expects organisations to minimise personal data collection and to carry out DPIAs where monitoring could be intrusive.
- Camera-based systems create stronger regulatory and employee-consent requirements than non-imaging approaches.
- Cybersecurity standards such as ISO 27001 and Cyber Essentials are increasingly requested by commercial landlords and corporate IT teams.
Choosing privacy-first sensors reduces legal risk, boosts staff trust and simplifies deployment in shared offices.
Sensor types 6privacy, accuracy and use cases
Thermal (camera-free)
- Privacy: High 6 no imagery, heat-only signatures.
- Accuracy: Good for counts, density and motion; performs in low light.
- Use cases: Occupancy counts, HVAC control, desk hoteling.
PIR (motion)
- Privacy: High 6 no images.
- Accuracy: Good for presence detection, less reliable for stationary occupants.
- Use cases: Lighting control, vacancy detection.
Camera-based vision
- Privacy: Low 6 captures imagery; requires stronger safeguards and often consent.
- Accuracy: Very high for posture, headcounts and behaviour analytics.
- Use cases: Space utilisation studies where imagery is essential.
Wi9Fi/Bluetooth tracking
- Privacy: Medium to low 6 can link to device identifiers; needs robust anonymisation.
- Accuracy: Variable; depends on device behaviour and radio environment.
- Use cases: Movement flows, device-based presence.
For most UK offices seeking balance between insight and privacy, thermal, PIR or hybrid non-imaging systems are recommended.