Person fall detection
Detection of a person lying on the floor — a possible fall or accident that needs an immediate response.
A fall caught before precious time is lost
The "Person fall detection" scenario detects a person lying on the floor — a situation that usually means a fall, a collapse or an accident. On a production floor, in a warehouse or in a corridor every second counts when a worker is unconscious.
When no one is nearby to see it, incident reporting is often delayed. Automatic detection of a prone posture shortens the time from event to rescue, instead of reconstructing the accident from footage afterwards.

Reaction at the moment it happens
Detecting a person on the floor raises an alert and an andon signal at once, with no wait for a manual report.
Protection for lone shifts
Detection works even where a worker is alone — at night, between racks or at a remote workstation.
Around-the-clock monitoring
Detection runs continuously, 24/7, with no fatigue or breaks — every shift is covered.
How person fall detection works
Industrial cameras watch the zone continuously while vision servers run the SAM3 detection model with the prompt "person lying on the floor" at the edge. Every match 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 a 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
A detected fall can trigger a light signal, a duty-supervisor notification or an action on a machine controller.
Configurable zones
You define exactly which floor areas are watched — detection runs only where it matters.
Example use and privacy
In a high-bay warehouse a worker on a lone night shift collapses between the racks. The camera detects the person lying down, AndonCloud immediately notifies the duty supervisor and shows the affected zone, so help arrives without waiting for a manual report.
The system recognises a person's state and posture, not their identity — it performs no biometric identification or face recognition.

No personal identification
Detection is about a state and a posture, not personal data — no face recognition.
Zone of the event
The alert shows the zone where the fall was detected, so help reaches the right place straight away.
A full event trail
Every detection is logged with time and zone, ready for analysis in safety reports.
System
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Documentation
Customer support
Integrations
FAQ
Frequently asked questions
- A person lying on the floor in the watched zone — a situation that usually means a fall, a collapse or an accident. The system recognises a state and posture, not the person's identity.
- No. Detection is about a person's state and posture — there is no biometric identification or face recognition.
- Yes. Detection areas are configurable, so the system watches only the floor where it matters.
- The event triggers an alert, an andon signal, a dashboard entry and a report line; 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 event occurs.
- Yes. When no one is nearby to see it, automatic detection shortens the time from a fall to rescue, without waiting for a manual report.
- 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 duty-supervisor notification.
This scenario detects a person lying on the floor — a situation that usually means a fall, a collapse or an accident. On a production floor, in a warehouse or in a corridor every second counts when a worker is unconscious, yet incident reporting is often delayed when no one is nearby to see it. Automatic detection of a prone posture shortens the time from event to rescue.
Industrial cameras watch the zone continuously, and a vision server runs the SAM3 model with a configurable scenario at the edge (prompt: "person lying on the floor"). Once a detection is confirmed, the integration gateway passes the event to AndonCloud, where it becomes an andon signal, an alert and an entry in dashboards and reports. The system recognises a person's state and posture, not their identity — it performs no biometric identification.
Example use: in a high-bay warehouse a worker on a lone night shift collapses between the racks. The camera detects the person lying down, AndonCloud immediately notifies the duty supervisor and shows the affected zone, so help arrives without waiting for a manual report. The data serves only to detect the safety event, with no recognition of specific individuals.
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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