Crowd density
Detection of high people density in a defined zone — a signal that the safe occupancy limit has been exceeded.
Crowding caught before it becomes a hazard
The "Crowd density" scenario detects a high concentration of people densely packed within a defined zone. When the number and proximity of people cross a set threshold, it is a clear signal that the safe occupancy limit has been exceeded — at entrances, gates, canteens or evacuation bottlenecks.
Automatic detection lets you relieve congestion the moment it forms — before panic, collisions or hampered evacuation — instead of reviewing the event from footage afterwards.

Reaction at the moment it happens
Crossing the density threshold raises an alert and andon signal the instant a zone becomes too packed.
Configurable zones
You define exactly which areas carry an occupancy limit — detection runs only where it matters.
Around-the-clock monitoring
Detection runs continuously, 24/7, with no fatigue or breaks — every shift is covered.
How crowd-density detection works
Industrial cameras watch the zone while vision servers run the SAM3 detection model with the prompt "crowd of people densely packed" at the edge. Every detected cluster becomes an event that integration gateways forward to AndonCloud and machine PLCs.
The event turns into an alert, an andon signal, a dashboard entry and a line in the occupancy report — with no footage sent to the cloud and no strain on your infrastructure.

Detection at the edge
The model runs locally on the vision server — low latency and no footage streamed off-site.
Andon & PLC integration
An exceeded limit can trigger a light signal, a supervisor notification or an action on a machine controller.
No footage in the cloud
Analysis happens at the edge — only events leave the site, not the video stream.
Example use and privacy
On a floor with a per-sector people cap, crossing the density threshold instantly triggers the andon and notifies the supervisor, who redirects flow and relieves congestion, while the event lands in the occupancy report.
The system recognises the state of the zone — crowding and occupancy — not the identity of any person; it performs no biometric identification or face recognition.

No personal identification
Detection is about the state of a zone, not personal data — no face recognition.
A full event trail
Every exceeded limit is logged with time and zone, ready for analysis in occupancy reports.
Ready for occupancy reports
Every detection lands in a report with time and zone — ready for occupancy-trend analysis.
System
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We help your team work more efficiently every day.
Documentation
Customer support
Integrations
FAQ
Frequently asked questions
- A high concentration of people densely packed within a defined zone. Crossing the threshold signals that the safe occupancy limit has been exceeded.
- No. Detection is about the state of a zone — crowding and occupancy — not identity; there is no biometric identification or face recognition.
- Yes. Detection areas are configurable, so the system reacts only where a density limit applies.
- The event triggers an alert, an andon signal, a dashboard entry and a line in the occupancy report; it can also trigger an action on a machine controller.
- Yes. The model runs at the edge on the vision server, so the reaction happens as the congestion forms.
- Standard industrial IP cameras watching the zone; the image is analysed locally by the vision server.
- No. Analysis happens at the edge — only events leave the site, not the video stream.
- Yes. Integration gateways link events to AndonCloud and PLC controllers — for example a light signal or a supervisor notification.
The Crowd density scenario detects a high concentration of people densely packed within a defined zone. When the number and proximity of people cross a set threshold, it is a clear signal that the safe occupancy limit has been exceeded — at entrances, gates, canteens or evacuation bottlenecks, excessive density raises the risk of crushing and collisions and hampers evacuation.
In AndonCloud, industrial cameras watch the zone while edge vision servers run detection with the SAM3 model and the prompt “crowd of people densely packed”. Each detected cluster becomes an event passed through integration gateways into AndonCloud, where it turns into an alert, an andon signal, a dashboard tile and an entry in the occupancy report. The detection concerns the state of the zone, not identity — the system does not recognise individuals.
Example use: on a floor with a per-sector people cap, crossing the density threshold instantly triggers the andon and notifies the supervisor, who redirects flow and relieves congestion before it becomes a hazard. The system recognises only crowding and occupancy state, with no biometric identification of any individual.
Contact
Contact us
If you have any questions, talk to our expert
We will respond within the next business day
sales@andoncloud.comPhone
Monday - Friday; 9:00 - 17:00
+48 71 340 70 15Marcin Wierzbicki
During the meeting, we will present the product and help you configure the system in your company efficiently and quickly. Our team is at your disposal.
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