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Argu is a queue management system that gives every waiting person their own live timer, so staff see exactly who has waited too long, in real time.
The differentiator is per person tracking instead of a single aggregate count. Wait time analytics built on individual timers show which specific line is falling behind right now, not an average across the whole facility from an hour ago. A threshold crossing triggers a dispatch alert while the customer is still standing there, not after they have already left. Wait time data sits alongside footfall in the retail video analytics picture of a venue.
Most queue counts show a single number: people in line. This queue management system tracks each person individually, starting a timer the moment they join and updating it continuously while they wait. When a wait crosses a set threshold, the timer changes color and an alert can dispatch staff before that customer reaches the point of walking out.

Per person wait time analytics
Each person in line gets an individual timer that starts the moment they join, rather than a single count of how many people are waiting.

Occupancy analytics across every queue
Multiple lines or service points are tracked at once, so a bottleneck at one register is visible next to normal wait times at another.

Threshold alerts before customers abandon
When a wait crosses a set length, an alert can dispatch additional staff to that line while the customer is still there to be served.

Works with cameras already covering the floor
Connects to RTSP streams, IP cameras and NVRs already installed above the service area, without new sensors at each queue position.
These are the core principles that define how Argu approaches every deployment. Our solutions are built to work on your existing infrastructure, require no engineering overhead, and deliver measurable results from day one. Every feature is designed with one goal: giving your team the intelligence to act faster, with more confidence, and without adding complexity.

A Queue Management System Built on Per Person Timers
Every person waiting gets their own timer, color coded by how long they have waited, instead of one count for the whole line.

Wait Time Analytics in Real Time
Timers update continuously while a person waits, so the current state of every queue is visible at any moment, not just in an end of day report.

Occupancy Analytics Across Multiple Service Points
Several queues or counters are tracked at the same time, showing where the bottleneck is right now, not an hour ago.

Dispatch Before Customers Walk Out
A threshold crossing can trigger a staff dispatch alert while the customer is still waiting, aimed at reducing abandonment rather than just measuring it.

Per person, not per line
A single count of people in line hides who has been waiting the longest. Individual timers make that person visible immediately.

Wait time analytics staff can act on
A threshold alert reaches staff while the customer is still standing in line, giving them a chance to open a register before someone leaves.

Occupancy analytics across the whole floor
Every service point is visible in one view, so a manager can see which queue needs help without walking the floor to check each one.

Runs on the cameras already above the queue
RTSP streams, IP cameras and NVRs already installed over the service area can be used directly, without new hardware at each position.
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