Forklift in pedestrian zone
Detect a forklift entering an area reserved for pedestrians only.
A forklift in a pedestrian zone caught before a collision happens
The "Forklift in pedestrian zone" scenario detects a forklift in an area reserved for pedestrians only. Mixing foot traffic with forklift traffic is one of the leading causes of serious warehouse accidents, which is why separating zones is a cornerstone of safety planning.
Automatic detection lets you react the moment a forklift enters a walkway — before a collision — instead of reconstructing the event from footage afterwards.
Reaction at the moment of the breach
A detection raises an alert and andon signal the instant a forklift appears in the pedestrian zone.
Configurable pedestrian zones
You define exactly which areas are reserved for pedestrians — detection watches only where forklift traffic is forbidden.
Around-the-clock monitoring
Detection runs continuously, 24/7, with no fatigue or breaks — every shift is covered.
How forklift-in-pedestrian-zone detection works
Industrial cameras watch the designated zone while vision servers run the SAM3 detection model with the prompt "forklift in pedestrian zone" 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 event can trigger a light signal, a dispatcher 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 walkway reserved for staff the camera spots an incoming forklift and immediately triggers an andon signal and a dispatcher notification, while the event lands in the safety report.
The system recognises the "forklift in pedestrian zone" state, not the operator's identity — it performs no biometric identification or face recognition.
No personal identification
Detection is about a state and an object, not personal data — no face recognition and no operator identification.
A full event trail
Every detection is logged with time and zone, ready for analysis in safety reports.
Ready for safety reports
Every detection lands in a report with time and zone — ready for traffic-separation trend analysis.
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FAQ
Frequently asked questions
- The presence of a forklift in an area reserved for pedestrians only. The system recognises the "forklift in pedestrian zone" state, not the operator's identity.
- No. Detection is about a state and an object — there is no biometric identification or face recognition.
- Yes. Detection areas are configurable, so the system reacts only where forklift traffic is forbidden.
- 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 forklift enters.
- 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 dispatcher notification.
The "Forklift in pedestrian zone" scenario detects a forklift in an area reserved for pedestrians only. Mixing foot traffic with forklift traffic is one of the leading causes of serious warehouse accidents, which is why separating zones is a cornerstone of safety planning. Automatic detection lets you catch a breach of that rule the moment it happens.
In the AndonCloud computer-vision pipeline, industrial cameras watch the designated zone while vision servers run the SAM3 detection model with the prompt "forklift in pedestrian zone" at the edge. Every match becomes an event that integration gateways forward to AndonCloud and machine PLCs — as an alert, an andon signal, a dashboard entry and a line in a report.
For example, on a walkway reserved for staff the camera spots an incoming forklift and triggers an andon signal and a notification for the dispatcher. The system recognises the "forklift in pedestrian zone" state, not the operator's identity — it performs no biometric identification or face recognition.
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 15
Marcin 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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