Products
Visitor counting and queue analysis

Visitor counting and queue management

The visitor counting and queue management system helps monitor incoming traffic, queue length, waiting time, service-area load and the quality of customer flow in real time.

The system also analyzes the audience: gender, age, demographic profile, repeat visits, unique visitors and other customer-flow characteristics.

Works with existing cameras Real-time notifications Unique visitors Audience analytics

Request a demo View scenarios

Everything for queue and customer-flow control in one module

Visitor counting
Unique visitors and employee exclusion
Queue length and waiting-time control
Heat maps and zone occupancy
Predictive analytics
Automated management
Audience analytics

–20–40% reduction in average waiting time

–30% reduction in queue events over 3 months

–50% reduction in queue complaints

+5–10 NPS / CSI growth

Problem

Queues are a systemic problem for retail, banks, service businesses and public-service facilities. More than 70% of customers are ready to leave when they see a long queue, while every extra minute of waiting reduces satisfaction by 5–7%.

No objective data Managers cannot see the actual real-time load in service areas and do not understand exactly where overload occurs.

Reactive management Problems become visible through complaints, when the customer is already unhappy or has left. Decisions are made late and without factual data.

Inefficient planning Without peak-load data, staff are either idle or insufficient during critical hours and in the busiest zones.

Losses and reputation Queues cause lost customers, negative reviews, fewer repeat visits, lower LTV and a worse customer experience.

If only customers can see the queue, the business is already losing money. The system turns a visual problem into an event, metrics and a management action.

Solution

The system automatically counts people in service areas, detects queue formation, shows current occupancy, sends notifications and helps manage customer flows based on data.

Existing cameras The system connects to existing cameras and RTSP streams, so deployment can start without purchasing new equipment.

Flexible thresholds by zone Each zone can have its own rules: allowed number of people, queue length, waiting time and response scenarios.

Instant notifications Responsible staff receive events in Telegram, email, the system interface or through webhooks to external systems.

Real-time dashboard All sites, zones, queues, load peaks and events are displayed on one screen with drill-down into details.

Historical analytics The system accumulates data by day, hour, zone and site for shift planning, reporting and service-quality analysis.

Full audience analytics In addition to queues, the system can analyze gender, age, repeat visits, demographic profile and customer-flow structure.

How it works

From video stream to event, notification, forecast and management action.

Camera analyzes the zone

We connect to existing RTSP streams and analyze selected service areas.

Algorithms detect people

The system detects, tracks and counts people in the frame without manual monitoring.

Flow analysis and counting

We identify queue formation, length, density, movement speed and waiting time.

Events are generated

When configured thresholds are triggered, an event card is created and notifications are sent.

Analytics and forecasts

Dashboards, heat maps, reports, integrations and recommendations, such as opening another checkout.

Platform capabilities — from basic monitoring to traffic management

Functionality can be enabled step by step: from one zone to a network of sites with a unified analytics center.

Visitor and traffic counting

incoming and outgoing traffic
service-area occupancy
hourly and daily dynamics

Queue length control

number of people in queue
thresholds for each zone
event when exceeded

Waiting time and SLA

average and peak waiting time
response-time control
before/after comparison

Unique visitors

counting without duplicate visits
employee exclusion
actual customer flow

Audience analytics

gender and age groups
new and repeat visitors
data for marketing and BI

Dashboard and events

site and zone map
event log with filters
reports and data export

Heat maps

crowding zones
routes and behavior
finding layout bottlenecks

Forecasting and management

queue forecasts from historical data
recommendations to open a checkout
API, webhooks and integrations

Basic start

Entry/exit, zone occupancy, queue control and simple notifications.

Advanced analytics

History, reports, heat maps, unique visitors and audience analytics.

Full platform

Forecasts, recommendations, integrations, dashboards and management of a network of sites.

Business outcomes

Key effects can be measured during the pilot and then scaled across a network of sites.

Reduced customer loss

Fewer abandoned purchases caused by queues and waiting.

Higher satisfaction

A more comfortable service experience improves loyalty and NPS.

Staff load management

Employees are in the right place at the right time.

Transparent analytics by site and zone

A unified view across the network and historical reports.

Schedule optimization

Data helps build work schedules and plan shifts.

−20–40% waiting time

−50% queue complaints

5–15% labor-cost optimization

3–6 months payback period

+5–10 NPS / CSI points

Use cases

One system supports different scenarios — from a small café to an airport, public-service center or large retail network.

Retail and stores

Queue control at checkouts, self-service areas, online-order pickup, fitting rooms and service counters.

Learn more

HoReCa and cafés

Guest counting and queue control at checkouts, self-service terminals, entrances, pickup zones and seating areas.

Learn more

Banks and customer offices

Queue analytics in service halls, waiting areas, VIP service, reception and customer windows.

Learn more

Public-service centers

Queue control at service windows, consultation desks and document pickup, with load balancing and objective reporting.

Learn more

Shopping and business centers

Analysis of flows, overloaded zones, food courts, entrances, tenants and service areas.

Learn more

Fuel stations

Queue control at checkouts, stores, cafés and fuel payment points, plus analysis of service-area load.

Learn more

Transport hubs

Passenger flows, queues for screening, check-in and boarding, waiting areas and overloaded routes.

Learn more

Integrations and deployment options

The system integrates with existing video surveillance, corporate systems, dashboards and response processes without rebuilding the entire infrastructure.

Cameras Analytics Events BI / CRM / API

Cloud

Fast pilot launch, centralized updates and minimal infrastructure requirements.

fast launch;
unified cloud dashboard;
convenient for pilots and site networks.

On-Prem

Deployment inside the customer environment with full control over data and integrations.

data stays inside the perimeter;
operation in isolated networks;
corporate security policies.

Hybrid

Local video-stream processing with centralized analytics for a network of sites.

local inference;
cloud or centralized analytics;
scaling as the network grows.

Integrates with your IT environment

Events, metrics, reports and notifications can be sent to the systems you already use — from VMS and BI to CRM, ERP and internal services.

RTSP VMS REST API Webhook BI CRM ERP Telegram Email Digital signage

Deployment in weeks, not months

A pilot can be launched at 2–3 sites to validate data quality, evaluate economic impact and quickly decide on scaling.

Audit

We check cameras, network, lighting, angles and detection zones.

1–2 days

Configuration

We configure zones, thresholds, events, notification rules and user roles.

1–3 days

Pilot

We launch the system at a limited number of sites, calibrate it and collect feedback.

1–2 weeks

Training

We show staff how to work with events, dashboards, reports and notifications.

1 day

Scaling

We connect new zones, sites and branches and expand analytics as the network grows.

according to schedule

Ready to start with one zone?

Queues can be more than observed — they can be managed.

Deploy visitor counting and queue management to turn traffic, waiting-time and zone-load data into management actions, economic impact and competitive advantage.

1–2 weeks pilot 2–3 sites fast start 3–6 months payback

Request a demo