Queue counting solution

Queue counting solution is a video analytics software for auditing how many people stay in a line at a cashdesk, point of sale, register, pay desk for how long. Analyze motion in zones where sensor based solutions are impossible or too expensive.

With a high ROI and a very fast payback time, our solution is used by brands, public institutions and international organizations alike. The information our people counting software provides is used at all levels of businesses, from planning front-line activities to setting overall strategy.

No extra hardware installation, devices, sensors, or specific IP camera models required.

One of the most popular use cases for Camlytics camera software is counting people waiting in line in a video stream, especially near sales counters. It can be a grocery store, mall - queue analytics is useful everywhere.

The solution relies on the camera system that was previously installed for surveillance, recording or any other purposes. You don't have to spend a fortune on sensors purchasing and installation.

queue counting statistics

Any IP camera model with RTSP stream capability would be supported. Our software can work where sensor solution can't because of a much wider field of view in a regular camera compared to a sensor.

With this powerful feature, you can monitor cashier activity, detect when a checkout is unattended, and track the average waiting time in line.
To get started, simply configure the Current Queue Report to monitor real-time queue conditions. For deeper analysis and trend tracking, you can also enable the Queue History Report to access historical data.
Additionally, you can leverage Dwell Time and Activity reports to gain even more comprehensive insights into customer behavior and in-store dynamics.

Data retrieval options

You can retrieve the real-time counting results in many ways:

All Camlytics products support events API and webhooks (you can receive such events, as Line crossed, Zone joined, Motion started, etc.).

Conclusions

If you are looking for a cost-efficient solution for people counting and don't want to waste your money on extra sensor hardware or any devices - look no further, Camlytics is a way to go.

Pricing  Downloads  Dashboard demo  Hardware requirements

Other solutions

If you are looking for the software for vehicle counting, speed detection and vehicle type classification (pedestrian, car, bus, bike, van, truck), Camlytics is offering it as one of the solutions.

Frequently Asked Questions

What cameras do I need for queue counting?

No special hardware is required. Camlytics works with any existing IP camera or webcam with RTSP stream capability. You can start monitoring queues with the surveillance infrastructure already installed.

How does queue counting software measure wait times?

Camlytics Service detects and tracks people in the queue zone using AI video analytics. The system measures dwell time — how long each person stays in the area — and calculates average wait times and queue lengths in real time.

What reports does queue counting software provide?

Camlytics Service provides a Current Queue Report (live occupancy), Queue History Report (trends over time), Dwell Time analysis, and cashier activity monitoring. Reports can be exported to CSV or accessed via the REST API.

How do I receive queue counting data?

Data is available through multiple channels: cloud dashboard, automated email reports, CSV exports, webhooks for real-time push notifications, embeddable HTML widgets for your own website, and API feeds for custom integrations.

Is queue counting data stored in the cloud?

No. All video processing happens on-premises on your hardware. Only anonymized statistical data (counts, timestamps, dwell times) is transferred to the cloud — no video footage ever leaves your network.

Is Camlytics a reliable solution?

Camlytics has been on the market since 2015 and has been deployed across thousands of installations worldwide — in retail, transportation, healthcare, and security. Camlytics is actively developed and maintained, with regular updates improving model accuracy and adding new analytics capabilities.

Check out our YouTube channel which has plenty of real-life video analytics demos.

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