Smoking in a no-smoking area
Detect a person smoking a cigarette in a no-smoking zone — e.g. flammable-material warehouses or ATEX areas.
Smoking in a no-smoking zone caught before it becomes a hazard
The "Smoking in a no-smoking area" scenario detects a person smoking — with a lit cigarette, and sometimes a lighter or match — in an area where smoking is forbidden. In warehouses, zones holding flammable materials or ATEX areas, a single lit cigarette poses a serious fire and explosion risk.
Automatic detection lets you react the moment a person smoking appears — before the situation turns dangerous — instead of reconstructing the event from footage afterwards.

Reaction at the moment it happens
A detection raises an alert and andon signal the instant a person smoking appears in the watched zone.
Configurable zones
You define exactly which areas are no-smoking — detection runs only where it matters for fire safety.
Around-the-clock monitoring
Detection runs continuously, 24/7, with no fatigue or breaks — every shift in the risk zone is covered.
How smoking detection works
Industrial cameras watch the zone while vision servers run the SAM3 detection model with the prompt "person smoking" 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 security 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
In a chemical storage hall the camera spots a person smoking a cigarette in the prohibited zone and immediately triggers a light signal and a notification to the on-duty security officer, while the event lands in the safety report.
The system recognises the smoking state — a lit cigarette in frame — not the identity of the person; 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.
A full event trail
Every detection is logged with time and zone, ready for analysis in safety and fire reports.
Rule enforcement
Every detection lands in a report with time and zone — enabling a fast response and enforcement of the smoking ban.
System
Our system is intuitive, but you can always count on us
We help your team work more efficiently every day.
Documentation
Customer support
Integrations
FAQ
Frequently asked questions
- The presence of a person smoking — with a lit cigarette, and sometimes a lighter or match — in the watched no-smoking zone. The system recognises the smoking state, not the person'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 smoking is prohibited — for example ATEX zones or flammable-material warehouses.
- The event triggers an alert, an andon signal, a dashboard entry and a report line; it can also trigger a security notification or 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 — before the situation turns dangerous.
- 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 security notification.
The "Smoking in a no-smoking area" scenario detects a person smoking — with a lit cigarette, and sometimes a lighter or match — in an area where smoking is forbidden. In flammable-material warehouses, ATEX zones or near paint lines, a single lit cigarette is a direct fire and explosion risk, so a fast response is critical.
In the AndonCloud computer-vision pipeline, industrial cameras watch the zone while vision servers run the SAM3 detection model with the prompt "person smoking" 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, in a chemical store the camera spots a person smoking in the prohibited zone and immediately triggers a light signal and a notification for security. The system recognises the smoking state, not the identity of the person — 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 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.
Newsletter
Sign up for the newsletter
Want to stay up to date? Sign up for our database.
By subscribing to our newsletter, you agree to our Privacy Policy and to receive updates from our company.