Xovis people counting and analytics

You own the sensors. We make the data work harder.

Plenty of teams have invested in Xovis 3D sensors and still feel one step removed from the insight they were promised. The hardware is excellent, but the data sits in a tool that does not fit how you plan, or the privacy setup has never been signed off, or each site reports its numbers differently.

That is the gap we close. Bumbee Labs takes the metadata your Xovis sensors already produce and turns it into footfall analytics you can act on: exact counts, real-time occupancy, dwell, queues, zone flows and demographics, all in one platform with a privacy posture you can defend. No new sensors, no rip-and-replace, no compromise on accuracy.

What teams do with Xovis analytics

The examples below are illustrative of what this kind of 3D sensor analytics makes possible across sectors. They show the shape of the value, not specific client results.

Retail and showrooms

In a furniture or fashion setting, exact entrance counts give your in-store conversion rate a denominator you can trust, and dwell data shows which displays actually hold attention. One illustrative case: a furniture retailer in the UK kept counting accurate even as showroom layouts changed every few weeks, and used capture rate and dwell to re-plan the floor, lifting browse-to-buy conversion by a high single-digit percentage. With the staff-exclusion and demographics extensions, an apparel chain can align staffing to the customers actually in store rather than to a flat rota.

Transport and airports

Automatic Passenger Counting from 3D sensors delivers stable, high-accuracy counts even in crowded vehicles and on busy platforms. A regional transport operator can use that data to share ticket revenue fairly between lines, right-size services to real demand and report to regulators on numbers that hold up to scrutiny. At an airport, occupancy and flow at security and shuttle points help cut waiting times and steer staff to the queues that are actually building.

Buildings and campuses

Occupancy data turns a building from a guess into a managed asset. A large university campus, for example, can see which rooms and buildings sit underused, then consolidate space and dial heating, cooling and lighting to actual presence, cutting the running cost of low-use areas by roughly a fifth and supporting net-zero targets. The same live occupancy supports safety limits and smarter cleaning and reception schedules.

Events, venues and attractions

When tens of thousands of people move through a space in a day, real-time occupancy per zone is a safety tool, not a nice-to-have. A large event venue can watch density build zone by zone and act before a bottleneck forms. A historic city landmark can count visitors accurately enough to plan staffing, measure whether a promotional campaign actually shifted footfall, and back funding bids with hard numbers rather than estimates.

See how this maps to your sector on the industries hub, from airports to museums and cultural venues.

Better together with Wi-Fi and cellular

3D sensors answer “exactly how many, right here, right now”. Our Wi-Fi method answers “how do people move across the whole space”, and cellular analytics answers “where do they come from”. Run Xovis alongside them in a hybrid deployment and each method makes the others sharper: your sensors give Wi-Fi a precise ground truth to calibrate against, and Wi-Fi gives your sensor counts the context of the whole journey.

Privacy and GDPR, settled

Xovis sensors are built so that only metadata leaves the device, never a video stream, with several privacy levels for compliant operation. We build on that foundation rather than working around it: the data we process cannot identify anyone, and our footfall method is approved by a data protection authority. The result is analytics that are precise where it counts and defensible when someone asks how they work. See exactly how on the GDPR footfall analytics page.