Applications / Operations Intelligence
Dwell-Time Analytics
Measures how long people, vehicles and material stay in a given zone, and surfaces the dwell patterns that indicate congestion, idle time or an unusual interest in an area.
See it in action
Where the time actually goes, zone by zone
Video slot — awaiting upload.
What it detects
Dwell is occupancy with a clock attached. It is the measurement that turns “this area is busy” into “this area holds things for forty minutes longer than it should”.
Dwell by area, with heatmaps and paths
Measures time spent per zone and aggregates it into heatmaps and movement paths across a floor, store, terminal or plant.
Vehicle and trailer dwell
Tracks how long vehicles and trailers remain in yards, bays and parking areas, including units left in place across shifts.
Truck dwell at gate and bay
Measures the time from gate arrival to bay departure, broken into gate processing, staging and loading segments.
Station dwell, idle and waiting time
Reports how long work sits at each station and how much of that time is active, waiting or setup.
Material and product dwell
Measures how long material, work-in-progress and finished goods sit at each point between processes.
Inventory and pallet dwell
Tracks how long pallets, cages and stock remain in a location, supporting FIFO discipline and slow-moving stock review.
Cold-chain dwell outside temperature
Flags product and pallets held outside refrigerated zones beyond their permitted exposure time.
Pump and forecourt dwell
Measures time per vehicle at the pump and abnormal service duration on fuel forecourts.
Worker dwell in exposure zones
Measures cumulative time spent in high-noise, high-heat or hazardous-atmosphere areas, per zone and per shift.
Abnormal dwell near sensitive assets
Surfaces time spent near cabinets, stores and controlled equipment that no scheduled task in the area accounts for.
Where it applies
Dwell measurement is named in ten of the twelve Q3 papers, applied to customers, vehicles, pallets, work-in-progress and workers depending on the sector.
How it works
Edge inference on the cameras you already have
Dwell is derived from tracking that is already running for detection, so it adds a time dimension to existing camera coverage rather than requiring new sensors or tags on the objects being measured.
Zones, thresholds and schedules you configure
Define the zone, the object class being timed, and the dwell threshold that should raise an alert. Cold stores, gate lanes and retail aisles can each carry their own threshold on the same platform.
Every event carries its own evidence
Each detection is logged with a timestamp, the camera and zone it came from, and a short clip. The record can be reviewed, exported or attached to an investigation without trawling through hours of footage.
Feeds the systems already in place
Events surface in Fogsphere Manager and route outward to the VMS, access-control platform, control-room wallboard, ticketing queue or messaging channel operators already watch.
Risk & control objective
The control objective is finding where time is being lost or spent unexpectedly. Throughput reporting shows how much moved; dwell shows where it stopped, and stopping is almost always where the cost is.
The reason dwell is rarely measured is that it needs identity over time, not just presence at an instant. Counting a pallet in a bay is easy. Knowing it is the same pallet that has been there since Tuesday requires tracking, and tracking is what a vision platform already does as a by-product of detection.
Dwell also crosses cleanly between operational and security use. The same measurement that flags a trailer sitting too long at a bay flags a person standing too long by a cabinet. Which one matters depends on the zone, not on the algorithm.
Related solutions
Find out where the time is actually going
We will run dwell measurement across a sample of your zones and show you the distribution, not just the average.