Use case · Operations
Line stoppage detection
Every minute between the line stopping and someone noticing is pure lost output. Cameras notice instantly.
The problem
Why it keeps happening.
Not every stoppage announces itself. Starved stations, micro-stops, and slow bleeds between takt times disappear into aggregate OEE numbers, and PLC data explains machines, not the material flow and human factors between them.
Plant cameras watch every line continuously. Today that visibility helps only when someone reviews footage after the fact.
The rule
Written the way you'd say it.
“Notify the line lead the moment the line stops or a station is starved.”Compile it in the Rule Playground
How it runs
- 01
Watch the flow, not just the machine
Existing line cameras detect stopped conveyance, starved stations, and accumulation: the visual state of flow between machines.
- 02
Alert the line lead in seconds
The moment flow stops, the line lead knows, with the camera view attached, so the response starts informed.
- 03
Capture the cause visually
The sealed clip around each stoppage shows what actually happened: the missing context in downtime logs.
- 04
Trend losses by line and shift
Stoppage frequency and duration by line, station, and shift accumulate in FloFusion: the dataset continuous improvement runs on.
Measure
What's measured.
- Stoppages per line and station
- Minutes stopped per shift
- Starved stations and where flow backs up
What it’s worth
- Response time to stoppages cut to seconds
- Micro-stops surfaced instead of vanishing into OEE averages
- Root causes documented visually for kaizen work
- Recovered output without capital changes to the line
Estimate your ROI for your own operation, in about two minutes.
Comply
The evidence.
- A clip and frame of the event, sealed with the device’s own key the moment it happens
- The rule that fired, the zone and camera, and the time
- The vision-language model’s verdict on the alert, with its reason
- Who saw it, who acted, and when, in the audit log
Where it applies
Related industries.
Common questions
How is this different from PLC/OEE monitoring?
PLC data says a machine stopped; the camera shows the flow around it, such as a starved station upstream or a blocked buffer downstream. Use both.
Link to this questionDoes this involve monitoring workers?
Rules watch flow, such as stopped conveyors or starved stations, not individual performance. No one is identified, and access to clips is role-based and logged.
Link to this questionMore use cases
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See it on your own cameras.
A pilot on the cameras you already own, with success criteria agreed up front.