Use case · Operations
Conveyor monitoring
A blocked transfer point found in seconds costs an intervention. Found in twenty minutes, it costs the shift.
The problem
Why it keeps happening.
Conveyors fail visibly before they fail operationally: material builds at a transfer point, spillage accumulates, a belt runs empty when it should not. Control-system sensors catch some of it; the visible early stage usually goes unseen until throughput drops.
Conveyors are also a persistent safety exposure: unauthorised access along running belts is a standing risk on any bulk-handling site.
The rule
Written the way you'd say it.
“Notify the control room when material builds at a transfer point, and escalate if anyone approaches a running belt.”Compile it in the Rule Playground
How it runs
- 01
Watch transfer points and belt runs
Existing cameras along conveyors, crushers, and transfer towers connect directly: the same views operators glance at today.
- 02
Detect abnormal states visually
Blockages, spillage buildup, and empty-belt conditions are detected from the visual state: the earliest signal available.
- 03
Enforce access rules alongside
The same cameras enforce exclusion zones along running belts, escalating unauthorized access immediately.
- 04
Alert the control room with context
Operators see what and where instantly, with the sealed clip attached, to dispatch the right response the first time.
Measure
What's measured.
- Build-ups per transfer point
- Minutes of blockage per belt and shift
- Entries near running belts
What it’s worth
- Downtime avoided by catching blockages at the visible stage
- Cleanup and spillage costs cut by earlier intervention
- Safety exposure along running belts enforced continuously
- Fewer manual inspection rounds along the belt 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
Does this integrate with our control system?
FloFrame can signal it on site over Modbus TCP, MQTT or relays, and alerts reach the control room. Cameras add what your PLC sensors cannot see.
Link to this questionCan it handle dusty environments?
Yes. Each camera is checked against your own footage in the pilot, and thresholds are tuned for dusty transfer points.
Link to this questionMore use cases
The use-case libraryOperations
Loading dock analytics
The dock is where your throughput and your detention charges are decided, and it is already on camera.
Operations
Line stoppage detection
Every minute between the line stopping and someone noticing is pure lost output. Cameras notice instantly.
Safety
Forklift–pedestrian detection
The highest-severity risk in most warehouses and plants, watched continuously by the cameras already on the ceiling.
See it on your own cameras.
A pilot on the cameras you already own, with success criteria agreed up front.