Parking occupancy measurement
Live occupancy, arrival patterns and stay length for car parks, forecourts and kerbside zones, measured anonymously with LiDAR or AI cameras and delivered in the same platform as your visitor data.
Measuring the car park as part of the visit
For a shopping destination, a forecourt or an event site, the visit often starts and ends in the car park, and yet parking is usually the least measured space on the property. Ticket systems only see traffic at the barriers, and estimates built on assumptions see even less. Barrier-free facilities and open forecourts often have no numbers at all.
Continuous parking measurement fills that gap. LiDAR or AI camera counting at entries, exits and zones turns movement into live occupancy against capacity, arrival curves and stay-length distributions. The count is anonymous: it uses no plates or identities and keeps no footage.
Reading occupancy against visits
Parking data is most useful when read against the rest of the visit. Occupancy against footfall shows whether full car parks mean full venues or just long stays. Stay length against dwell shows whether parking limits are cutting visits short, and traffic counts upstream show the demand the facility never captured. All three sit in one platform, on one timeline.
Book a demo and we’ll show live occupancy for a facility like yours, from the first zone to the whole property.
Why measure parking with Bumbee Labs
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Occupancy as it happens
Live occupancy against capacity shows when a facility fills, empties and turns over, instead of relying on ticket data or assumptions.
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Built to be anonymous
Counting entries, exits and occupancy requires no identities. LiDAR measures without imagery, and AI camera counting outputs numbers without any footage.
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Parking against visits
Parking data lands beside footfall and traffic data in one platform, so stay length and occupancy can be read against what visitors did.
We are very excited by this collaboration with Bumbee Labs as their data expertise will complement our IoT know-how providing an unparalleled service to our clients across several verticals, industries and markets in the Middle East.
Frequently asked questions
How is occupancy measured without tickets or barriers?
By counting movement at entries, exits and zones: LiDAR or AI camera counting registers vehicles in and out, and occupancy is the running balance against capacity. That works for barrier-free facilities, forecourts and kerbside zones where ticket data does not exist.
Is any personal data involved?
Counting vehicles needs no identity. LiDAR produces no imagery at all, and AI camera counting outputs numbers rather than footage; no number plates are needed for occupancy. Facilities that separately require plate-based enforcement run that under their own framework; it is not part of the counting.
What does parking data add that footfall alone misses?
It covers the start of the visit. Reading occupancy and stay length against in-venue footfall shows whether parking pressure limits visits, how long parking stays support how much dwell, and what an event does to arrivals. Neither dataset answers those questions alone.