Applications / Operations Intelligence
Queue Length & Wait-Time Monitoring
Measures how many people or vehicles are waiting at each service point, how long they wait, and when a queue crosses the threshold that needs another position opened.
See it in action
Four in the queue, six minutes to serve — measured, not estimated
Video slot — awaiting upload.
What it detects
Queues are measured from the same cameras that already cover the service point. No beacons, no tickets, no manual counts.
Queue length by service point
Counts people or vehicles waiting at each till, desk, gate, pump or window, refreshed continuously through the day.
Wait time per person or vehicle
Measures elapsed time from joining the queue to reaching the service position, and reports the distribution rather than a single average.
Truck and gate queue overflow
Tracks the vehicle queue at gates and checkpoints, and flags when it backs up beyond the holding area onto access roads.
Checkout and till queue against staffed positions
Correlates queue length with how many service positions are actually open, so under-staffing is visible as it happens rather than in a weekly report.
Forecourt and pump queue
Measures waiting vehicles per pump island, service time per vehicle and abnormal service duration on fuel forecourts.
Ticket machine, gate and platform queues
Covers ticket machines, fare gates, lifts, escalators and platform waiting areas in transport and public-space settings.
Loading-bay and dock queue
Measures queue length and processing time at loading bays and docks, alongside bay occupancy and turnaround.
Queue build-up between processes
Identifies work-in-progress accumulating between stations on a production or packing line, where the queue is material rather than people.
Returns and exception queues
Tracks returns desks, exception-handling areas and cage build-up where backlog is the leading indicator of a downstream problem.
Peak-hour profiling
Builds the queue and wait-time profile per hour, per day and per site, so staffing plans are set against measured demand.
Where it applies
Queue and wait-time measurement is named in the retail, healthcare, oil & gas, logistics, smart-city, manufacturing and chemical papers — in each case tied to a specific service point rather than a generic footfall count.
How it works
Edge inference on the cameras you already have
Queue measurement runs on the camera already covering the service area. Counting and tracking happen on the edge device, so no customer or worker video needs to leave the site to produce the metric.
Zones, thresholds and schedules you configure
Draw the queue area and the service position on the camera view. Set the length and wait thresholds that should raise an alert, per service point and per trading period.
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 matching service capacity to demand while the demand is still happening. Queue data that arrives the following week explains a bad afternoon; queue data that arrives in ninety seconds gives a supervisor time to open another position.
The measurement problem is that queues are invisible to most systems. Transaction data shows what was served, not who gave up waiting. Footfall counters show arrivals, not the shape of the wait. The camera at the till already sees the queue; it has simply never been asked to count it.
The same signal has a compliance and experience dimension. In healthcare, wait time at reception, triage and pharmacy is a reportable measure. At gates and checkpoints, queue overflow onto public roads becomes a safety issue. The metric is one thing; what it is used for depends on the sector.
Related solutions
Measure the queue instead of estimating it
We will show you live queue length and wait-time measurement running on the cameras already covering your service points.