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Crowd Flow Monitoring
Monitor the flow of people through a defined region — how many have entered, how many have left, and how many remain inside.
SolutionsCrowd Monitoring
Know how busy your venue is, right now
Fooyo gathers data from a range of IoT devices — cameras, Wi-Fi sensors and counters — to monitor crowd levels inside a physical venue. How many people came in, how many are still there, where they are standing, and how long the queue really is.
Built for venues where crowding costs you
Attractions
Destinations
Malls & retail
Events
Why crowd monitoring
Most venues find out they were too crowded
after the visitors have gone home.
Ticket sales aren't occupancy
Tickets tell you who bought, not who is inside. Without entry and exit counts there is no reliable number for how many people are in the venue at this moment.
Queues are reported, not measured
Waiting times usually come from a staff member's estimate over the radio. That is hard to publish to visitors and impossible to trend over a season.
Peaks arrive on a schedule
Golden weeks, school holidays and weekends concentrate demand into a few hours. Crowd control decisions have to be made during the peak, not reviewed after it.
What you get
Four modules, one picture of the venue.
Each runs on its own, and they are stronger together — the same sensor data drives the counts, the map, the queue times and the streams.
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Heat Map
An intuitive visual overview of where the crowd actually is, built from both camera and Wi-Fi sniffer data. Fooyo’s own algorithms extend the coverage beyond what the cameras alone can see.
03
Queue Management
A headcount of the people actually in the queue, converted into an estimated waiting time — usable by your operations team and publishable to visitors.
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Live Streams
Visitors and operations staff can both watch the real situation through live cameras, so a decision about where to go next is based on what is happening rather than a guess.
In production
Do you have crowd monitoring
running at actual destinations?
Hongyadong — Chongqing, China
One of China’s top travel destinations, Hongyadong faces real over-tourism pressure, especially during golden weeks and weekends. The crowd monitoring system was implemented in 2019 to support crowd control and track visitor traffic.
Sentosa — Singapore
Deployed across a range of attractions on the island, giving both operators and visitors better visibility of queue status at the busiest attractions.
FAQs
A range of IoT devices feeds the platform. Cameras count people crossing entry and exit lines, and Wi-Fi sniffers pick up devices in areas a camera doesn't reach. The system reports how many visitors have entered, how many have left, and how many remain inside a given region.
No. The heat map combines camera data with Wi-Fi sniffer data, and our own algorithms extend coverage across areas without a direct camera line of sight — so a venue doesn't need a camera in every corner.
Yes. The queue module performs a headcount of the people currently queueing and converts that into an estimated waiting time, which can be shown to operations teams and published to visitors.
At Hongyadong in Chongqing, China since 2019 — one of the country's most visited destinations — and across attractions in Sentosa, Singapore, where it gives visibility of queue status at the busiest attractions.
Both. Operations teams get the full dashboard, and the same live streams and queue times can be surfaced to visitors through a mini program or app, so they can decide where to go next.
Get Started
See your venue the way your visitors experience it.
Let's have a chat. Tell us where the crowding hurts most, and we'll show you what we'd measure — no pitch deck.
