Vicinia Occupancy Intelligence combines real‑time sensor data with a digital twin to reveal accurate usage patterns, enabling better planning, staffing, and capacity decisions across all space types. 

The platform integrates with Vicinia IoT sensors to capture anonymous entry counts, flow patterns, and dwell behavior with high accuracy, even in complex or low‑light environments.  

Vicinia supports its IR breakbeam, stereo‑vision, and ToF sensors, along with third‑party devices, ensuring flexible deployment across entries, open spaces, and large venues.  

Vicinia devices use anonymous, non‑identifying sensor data and GDPR‑aligned processing, ensuring no personally identifiable visuals or information are captured during occupancy detection.  

Yes. The platform supports open APIs, IoT standards, and enterprise integrations, allowing seamless connection with building systems, dashboards, ticketing, and planning tools.  

Vicinia sensors deliver exceptional accuracy through IR, stereo‑vision, and Time‑of‑Flight technologies, outperforming manual counts and basic presence sensors—especially in high‑traffic environments.  

The digital twin visualizes live occupancy, flow, and congestion across mapped zones, enabling teams to interpret utilization patterns contextually rather than through raw numbers alone.

Yes. The platform is architected for multi‑site, multi‑building environments, providing unified visibility, consistent analytics, and centralized device management across large portfolios.  

Yes. Historical analytics provide year‑over‑year comparisons, peak‑time patterns, capacity trends, and utilization benchmarks to guide operational planning, budgeting, and strategic decisions. 

Facilities, operations, visitor experience, safety, planning, and real‑estate teams rely on occupancy insights to improve resource allocation, eliminate bottlenecks, and optimize building performance